diff --git a/README.md b/README.md index cde7810..96c2fea 100644 --- a/README.md +++ b/README.md @@ -77,14 +77,14 @@ The headline run for the figures here: ```bash uv run --extra all python scripts/run_cell.py \ --model Qwen/Qwen3.5-0.8B --method mean_diff --seed 0 --window 512 \ - --out-root outputs_qwen35_w512_dense \ + --out-root outputs/qwen35_w512_dense \ --run-id Qwen3.5-0.8B_mean_diff_s0_w512_dense \ --compute-pmass --skip-pmass-qa --fork-log \ --alphas 0.0 0.25 0.5 0.75 1.0 1.5 2.0 4.0 \ --render-figs --render-threshold 0.95 ``` -Outputs land under `outputs_qwen35_w512_dense//figs_auto/{survival,spaghetti,aggregate}/`. +Outputs land under `outputs/qwen35_w512_dense//figs_auto/{survival,spaghetti,aggregate}/`. ## What this repo is and isn't diff --git a/_single_run_264/Qwen3.5-0.8B_mean_diff_s0_w512 b/_single_run_264/Qwen3.5-0.8B_mean_diff_s0_w512 deleted file mode 120000 index 2fc9dd1..0000000 --- a/_single_run_264/Qwen3.5-0.8B_mean_diff_s0_w512 +++ /dev/null @@ -1 +0,0 @@ -../outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512 \ No newline at end of file diff --git a/figs/figs_partial/figure1.png b/figs/figs_partial/figure1.png deleted file mode 100644 index 5fc56c5..0000000 Binary files a/figs/figs_partial/figure1.png and /dev/null differ diff --git a/figs/figs_partial/table.csv b/figs/figs_partial/table.csv deleted file mode 100644 index 0333d28..0000000 --- a/figs/figs_partial/table.csv +++ /dev/null @@ -1,19 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Llama-3.2-1B-Instruct,directional_ablation,20,5.119636661337771,0.0,3,0.0 -Llama-3.2-1B-Instruct,directional_ablation,50,4.6095092483978455,0.0,3,0.0 -Llama-3.2-1B-Instruct,mean_diff,20,3.771688942723309,0.0,3,0.0 -Llama-3.2-1B-Instruct,mean_diff,50,3.861664231693977,0.0,3,0.0 -Llama-3.2-1B-Instruct,pca,20,3.818178678361504,0.0,3,0.0 -Llama-3.2-1B-Instruct,pca,50,3.600290823741986,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,directional_ablation,20,7.507819866975713,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,directional_ablation,50,7.055664779577401,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,mean_diff,20,7.588130746747839,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,mean_diff,50,7.561536121211781,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,pca,20,8.655517019086593,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,pca,50,8.606126777874907,0.0,3,0.0 -Qwen3-4B-Instruct-2507,directional_ablation,20,25.600000000000005,0.0,3,0.0 -Qwen3-4B-Instruct-2507,directional_ablation,50,22.895205490202148,0.0,3,0.0 -Qwen3-4B-Instruct-2507,mean_diff,20,25.600000000000005,0.0,3,0.0 -Qwen3-4B-Instruct-2507,mean_diff,50,25.600000000000005,0.0,3,0.0 -Qwen3-4B-Instruct-2507,pca,20,23.302283905419525,0.0,3,0.0 -Qwen3-4B-Instruct-2507,pca,50,17.99025750455262,0.0,3,0.0 diff --git a/figs/figs_partial/table.md b/figs/figs_partial/table.md deleted file mode 100644 index 9e89126..0000000 --- a/figs/figs_partial/table.md +++ /dev/null @@ -1,20 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:-----------------------|:---------------------|---------:|---------:|--------:|----------:|-------:| -| Llama-3.2-1B-Instruct | directional_ablation | 20 | 5.120 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | directional_ablation | 50 | 4.610 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | mean_diff | 20 | 3.772 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | mean_diff | 50 | 3.862 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | pca | 20 | 3.818 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | pca | 50 | 3.600 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | directional_ablation | 20 | 7.508 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 7.056 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | mean_diff | 20 | 7.588 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 7.562 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | pca | 20 | 8.656 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | pca | 50 | 8.606 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | directional_ablation | 20 | 25.600 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | directional_ablation | 50 | 22.895 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | mean_diff | 20 | 25.600 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | mean_diff | 50 | 25.600 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | pca | 20 | 23.302 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | pca | 50 | 17.990 | 0.000 | 3 | 0.000 | \ No newline at end of file diff --git a/figs/figs_qwen05_kl/figure1_kl_only.png b/figs/figs_qwen05_kl/figure1_kl_only.png deleted file mode 100644 index bf35d9a..0000000 Binary files a/figs/figs_qwen05_kl/figure1_kl_only.png and /dev/null differ diff --git a/figs/figs_qwen05_kl/table.csv b/figs/figs_qwen05_kl/table.csv deleted file mode 100644 index 0333d28..0000000 --- a/figs/figs_qwen05_kl/table.csv +++ /dev/null @@ -1,19 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Llama-3.2-1B-Instruct,directional_ablation,20,5.119636661337771,0.0,3,0.0 -Llama-3.2-1B-Instruct,directional_ablation,50,4.6095092483978455,0.0,3,0.0 -Llama-3.2-1B-Instruct,mean_diff,20,3.771688942723309,0.0,3,0.0 -Llama-3.2-1B-Instruct,mean_diff,50,3.861664231693977,0.0,3,0.0 -Llama-3.2-1B-Instruct,pca,20,3.818178678361504,0.0,3,0.0 -Llama-3.2-1B-Instruct,pca,50,3.600290823741986,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,directional_ablation,20,7.507819866975713,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,directional_ablation,50,7.055664779577401,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,mean_diff,20,7.588130746747839,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,mean_diff,50,7.561536121211781,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,pca,20,8.655517019086593,0.0,3,0.0 -Qwen2.5-0.5B-Instruct,pca,50,8.606126777874907,0.0,3,0.0 -Qwen3-4B-Instruct-2507,directional_ablation,20,25.600000000000005,0.0,3,0.0 -Qwen3-4B-Instruct-2507,directional_ablation,50,22.895205490202148,0.0,3,0.0 -Qwen3-4B-Instruct-2507,mean_diff,20,25.600000000000005,0.0,3,0.0 -Qwen3-4B-Instruct-2507,mean_diff,50,25.600000000000005,0.0,3,0.0 -Qwen3-4B-Instruct-2507,pca,20,23.302283905419525,0.0,3,0.0 -Qwen3-4B-Instruct-2507,pca,50,17.99025750455262,0.0,3,0.0 diff --git a/figs/figs_qwen05_kl/table.md b/figs/figs_qwen05_kl/table.md deleted file mode 100644 index 9e89126..0000000 --- a/figs/figs_qwen05_kl/table.md +++ /dev/null @@ -1,20 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:-----------------------|:---------------------|---------:|---------:|--------:|----------:|-------:| -| Llama-3.2-1B-Instruct | directional_ablation | 20 | 5.120 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | directional_ablation | 50 | 4.610 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | mean_diff | 20 | 3.772 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | mean_diff | 50 | 3.862 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | pca | 20 | 3.818 | 0.000 | 3 | 0.000 | -| Llama-3.2-1B-Instruct | pca | 50 | 3.600 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | directional_ablation | 20 | 7.508 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 7.056 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | mean_diff | 20 | 7.588 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 7.562 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | pca | 20 | 8.656 | 0.000 | 3 | 0.000 | -| Qwen2.5-0.5B-Instruct | pca | 50 | 8.606 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | directional_ablation | 20 | 25.600 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | directional_ablation | 50 | 22.895 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | mean_diff | 20 | 25.600 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | mean_diff | 50 | 25.600 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | pca | 20 | 23.302 | 0.000 | 3 | 0.000 | -| Qwen3-4B-Instruct-2507 | pca | 50 | 17.990 | 0.000 | 3 | 0.000 | \ No newline at end of file diff --git a/figs/figs_qwen05_kl_long/figure1_kl_only.png b/figs/figs_qwen05_kl_long/figure1_kl_only.png deleted file mode 100644 index 9fe1066..0000000 Binary files a/figs/figs_qwen05_kl_long/figure1_kl_only.png and /dev/null differ diff --git a/figs/figs_qwen05_kl_long/table.csv b/figs/figs_qwen05_kl_long/table.csv deleted file mode 100644 index 355f829..0000000 --- a/figs/figs_qwen05_kl_long/table.csv +++ /dev/null @@ -1,4 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen2.5-0.5B-Instruct,directional_ablation,50,7.0556647795774,,1, -Qwen2.5-0.5B-Instruct,mean_diff,50,7.561536121211781,,1, -Qwen2.5-0.5B-Instruct,pca,50,8.606126777874907,,1, diff --git a/figs/figs_qwen05_kl_long/table.md b/figs/figs_qwen05_kl_long/table.md deleted file mode 100644 index 6f12bf7..0000000 --- a/figs/figs_qwen05_kl_long/table.md +++ /dev/null @@ -1,5 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:----------------------|:---------------------|---------:|---------:|:--------|----------:|:-------| -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 7.056 | | 1 | | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 7.562 | | 1 | | -| Qwen2.5-0.5B-Instruct | pca | 50 | 8.606 | | 1 | | \ No newline at end of file diff --git a/figs/figs_qwen05_pmass_fix2/figure1.png b/figs/figs_qwen05_pmass_fix2/figure1.png deleted file mode 100644 index 6695593..0000000 Binary files a/figs/figs_qwen05_pmass_fix2/figure1.png and /dev/null differ diff --git a/figs/figs_qwen05_pmass_fix2/table.csv b/figs/figs_qwen05_pmass_fix2/table.csv deleted file mode 100644 index 355f829..0000000 --- a/figs/figs_qwen05_pmass_fix2/table.csv +++ /dev/null @@ -1,4 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen2.5-0.5B-Instruct,directional_ablation,50,7.0556647795774,,1, -Qwen2.5-0.5B-Instruct,mean_diff,50,7.561536121211781,,1, -Qwen2.5-0.5B-Instruct,pca,50,8.606126777874907,,1, diff --git a/figs/figs_qwen05_pmass_fix2/table.md b/figs/figs_qwen05_pmass_fix2/table.md deleted file mode 100644 index 6f12bf7..0000000 --- a/figs/figs_qwen05_pmass_fix2/table.md +++ /dev/null @@ -1,5 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:----------------------|:---------------------|---------:|---------:|:--------|----------:|:-------| -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 7.056 | | 1 | | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 7.562 | | 1 | | -| Qwen2.5-0.5B-Instruct | pca | 50 | 8.606 | | 1 | | \ No newline at end of file diff --git a/figs/figs_qwen05_pretty/figure1.png b/figs/figs_qwen05_pretty/figure1.png deleted file mode 100644 index e30a17c..0000000 Binary files a/figs/figs_qwen05_pretty/figure1.png and /dev/null differ diff --git a/figs/figs_qwen05_pretty/table.csv b/figs/figs_qwen05_pretty/table.csv deleted file mode 100644 index 355f829..0000000 --- a/figs/figs_qwen05_pretty/table.csv +++ /dev/null @@ -1,4 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen2.5-0.5B-Instruct,directional_ablation,50,7.0556647795774,,1, -Qwen2.5-0.5B-Instruct,mean_diff,50,7.561536121211781,,1, -Qwen2.5-0.5B-Instruct,pca,50,8.606126777874907,,1, diff --git a/figs/figs_qwen05_pretty/table.md b/figs/figs_qwen05_pretty/table.md deleted file mode 100644 index 6f12bf7..0000000 --- a/figs/figs_qwen05_pretty/table.md +++ /dev/null @@ -1,5 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:----------------------|:---------------------|---------:|---------:|:--------|----------:|:-------| -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 7.056 | | 1 | | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 7.562 | | 1 | | -| Qwen2.5-0.5B-Instruct | pca | 50 | 8.606 | | 1 | | \ No newline at end of file diff --git a/figs/figs_qwen05_pretty_raw/figure1.png b/figs/figs_qwen05_pretty_raw/figure1.png deleted file mode 100644 index 640ed62..0000000 Binary files a/figs/figs_qwen05_pretty_raw/figure1.png and /dev/null differ diff --git a/figs/figs_qwen05_pretty_raw/table.csv b/figs/figs_qwen05_pretty_raw/table.csv deleted file mode 100644 index 355f829..0000000 --- a/figs/figs_qwen05_pretty_raw/table.csv +++ /dev/null @@ -1,4 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen2.5-0.5B-Instruct,directional_ablation,50,7.0556647795774,,1, -Qwen2.5-0.5B-Instruct,mean_diff,50,7.561536121211781,,1, -Qwen2.5-0.5B-Instruct,pca,50,8.606126777874907,,1, diff --git a/figs/figs_qwen05_pretty_raw/table.md b/figs/figs_qwen05_pretty_raw/table.md deleted file mode 100644 index 6f12bf7..0000000 --- a/figs/figs_qwen05_pretty_raw/table.md +++ /dev/null @@ -1,5 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:----------------------|:---------------------|---------:|---------:|:--------|----------:|:-------| -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 7.056 | | 1 | | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 7.562 | | 1 | | -| Qwen2.5-0.5B-Instruct | pca | 50 | 8.606 | | 1 | | \ No newline at end of file diff --git a/figs/figs_qwen05_spaghetti/figure1.png b/figs/figs_qwen05_spaghetti/figure1.png deleted file mode 100644 index ff2cc26..0000000 Binary files a/figs/figs_qwen05_spaghetti/figure1.png and /dev/null differ diff --git a/figs/figs_qwen05_spaghetti/table.csv b/figs/figs_qwen05_spaghetti/table.csv deleted file mode 100644 index 355f829..0000000 --- a/figs/figs_qwen05_spaghetti/table.csv +++ /dev/null @@ -1,4 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen2.5-0.5B-Instruct,directional_ablation,50,7.0556647795774,,1, -Qwen2.5-0.5B-Instruct,mean_diff,50,7.561536121211781,,1, -Qwen2.5-0.5B-Instruct,pca,50,8.606126777874907,,1, diff --git a/figs/figs_qwen05_spaghetti/table.md b/figs/figs_qwen05_spaghetti/table.md deleted file mode 100644 index 6f12bf7..0000000 --- a/figs/figs_qwen05_spaghetti/table.md +++ /dev/null @@ -1,5 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:----------------------|:---------------------|---------:|---------:|:--------|----------:|:-------| -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 7.056 | | 1 | | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 7.562 | | 1 | | -| Qwen2.5-0.5B-Instruct | pca | 50 | 8.606 | | 1 | | \ No newline at end of file diff --git a/figs/figs_qwen05_spaghetti2/figure1.png b/figs/figs_qwen05_spaghetti2/figure1.png deleted file mode 100644 index 33a81df..0000000 Binary files a/figs/figs_qwen05_spaghetti2/figure1.png and /dev/null differ diff --git a/figs/figs_qwen05_spaghetti2/table.csv b/figs/figs_qwen05_spaghetti2/table.csv deleted file mode 100644 index 355f829..0000000 --- a/figs/figs_qwen05_spaghetti2/table.csv +++ /dev/null @@ -1,4 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen2.5-0.5B-Instruct,directional_ablation,50,7.0556647795774,,1, -Qwen2.5-0.5B-Instruct,mean_diff,50,7.561536121211781,,1, -Qwen2.5-0.5B-Instruct,pca,50,8.606126777874907,,1, diff --git a/figs/figs_qwen05_spaghetti2/table.md b/figs/figs_qwen05_spaghetti2/table.md deleted file mode 100644 index 6f12bf7..0000000 --- a/figs/figs_qwen05_spaghetti2/table.md +++ /dev/null @@ -1,5 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:----------------------|:---------------------|---------:|---------:|:--------|----------:|:-------| -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 7.056 | | 1 | | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 7.562 | | 1 | | -| Qwen2.5-0.5B-Instruct | pca | 50 | 8.606 | | 1 | | \ No newline at end of file diff --git a/figs/figs_qwen05_survival/survival.md b/figs/figs_qwen05_survival/survival.md deleted file mode 100644 index 07095de..0000000 --- a/figs/figs_qwen05_survival/survival.md +++ /dev/null @@ -1,14 +0,0 @@ -| threshold | alpha | n | S(t=20) | S(t=49) | median_death_t | -|------------:|--------:|----:|----------:|----------:|-----------------:| -| 0.500 | 0.500 | 24 | 0.875 | 0.792 | | -| 0.500 | 1.000 | 24 | 0.000 | 0.000 | 0 | -| 0.500 | 2.000 | 24 | 0.000 | 0.000 | 0 | -| 0.500 | 4.000 | 24 | 0.000 | 0.000 | 0 | -| 1.000 | 0.500 | 24 | 1.000 | 1.000 | | -| 1.000 | 1.000 | 24 | 0.500 | 0.333 | 20 | -| 1.000 | 2.000 | 24 | 0.000 | 0.000 | 0 | -| 1.000 | 4.000 | 24 | 0.000 | 0.000 | 0 | -| 2.000 | 0.500 | 24 | 1.000 | 1.000 | | -| 2.000 | 1.000 | 24 | 0.917 | 0.792 | | -| 2.000 | 2.000 | 24 | 0.000 | 0.000 | 0 | -| 2.000 | 4.000 | 24 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/figs/figs_qwen05_survival/survival.png b/figs/figs_qwen05_survival/survival.png deleted file mode 100644 index 692a29a..0000000 Binary files a/figs/figs_qwen05_survival/survival.png and /dev/null differ diff --git a/figs/figs_qwen05_survival/survival_pmass.md b/figs/figs_qwen05_survival/survival_pmass.md deleted file mode 100644 index 7011244..0000000 --- a/figs/figs_qwen05_survival/survival_pmass.md +++ /dev/null @@ -1,14 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:---------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass | 0.500 | 0.500 | 24 | 0.833 | 0.708 | | -| pmass | 0.500 | 1.000 | 24 | 0.917 | 0.875 | | -| pmass | 0.500 | 2.000 | 24 | 1.000 | 0.958 | | -| pmass | 0.500 | 4.000 | 24 | 0.333 | 0.333 | 0 | -| pmass | 0.800 | 0.500 | 24 | 0.667 | 0.583 | | -| pmass | 0.800 | 1.000 | 24 | 0.583 | 0.542 | | -| pmass | 0.800 | 2.000 | 24 | 0.375 | 0.375 | 0 | -| pmass | 0.800 | 4.000 | 24 | 0.333 | 0.292 | 0 | -| pmass | 0.950 | 0.500 | 24 | 0.333 | 0.208 | 5 | -| pmass | 0.950 | 1.000 | 24 | 0.250 | 0.208 | 0 | -| pmass | 0.950 | 2.000 | 24 | 0.333 | 0.292 | 0 | -| pmass | 0.950 | 4.000 | 24 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/figs/figs_qwen05_survival/survival_pmass.png b/figs/figs_qwen05_survival/survival_pmass.png deleted file mode 100644 index 94bfcd5..0000000 Binary files a/figs/figs_qwen05_survival/survival_pmass.png and /dev/null differ diff --git a/figs/figs_qwen05_w50_survival/survival_pmass.md b/figs/figs_qwen05_w50_survival/survival_pmass.md deleted file mode 100644 index aa1e346..0000000 --- a/figs/figs_qwen05_w50_survival/survival_pmass.md +++ /dev/null @@ -1,11 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:---------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass | 0.500 | 1.000 | 72 | 0.125 | 0.125 | 0 | -| pmass | 0.500 | 2.000 | 72 | 0.000 | 0.000 | 0 | -| pmass | 0.500 | 4.000 | 72 | 0.000 | 0.000 | 0 | -| pmass | 0.800 | 1.000 | 72 | 0.042 | 0.042 | 0 | -| pmass | 0.800 | 2.000 | 72 | 0.000 | 0.000 | 0 | -| pmass | 0.800 | 4.000 | 72 | 0.000 | 0.000 | 0 | -| pmass | 0.950 | 1.000 | 72 | 0.000 | 0.000 | 0 | -| pmass | 0.950 | 2.000 | 72 | 0.000 | 0.000 | 0 | -| pmass | 0.950 | 4.000 | 72 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/figs/figs_qwen05_w50_survival/survival_pmass.png b/figs/figs_qwen05_w50_survival/survival_pmass.png deleted file mode 100644 index 641c38f..0000000 Binary files a/figs/figs_qwen05_w50_survival/survival_pmass.png and /dev/null differ diff --git a/figs/figs_qwen05_w512_color/figure1.png b/figs/figs_qwen05_w512_color/figure1.png deleted file mode 100644 index c498eda..0000000 Binary files a/figs/figs_qwen05_w512_color/figure1.png and /dev/null differ diff --git a/figs/figs_qwen05_w512_color/table.csv b/figs/figs_qwen05_w512_color/table.csv deleted file mode 100644 index 5dbc021..0000000 --- a/figs/figs_qwen05_w512_color/table.csv +++ /dev/null @@ -1,4 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen2.5-0.5B-Instruct,directional_ablation,512,8.59831195323767,,1, -Qwen2.5-0.5B-Instruct,mean_diff,512,8.030432886640742,,1, -Qwen2.5-0.5B-Instruct,pca,512,8.232617543390845,,1, diff --git a/figs/figs_qwen05_w512_color/table.md b/figs/figs_qwen05_w512_color/table.md deleted file mode 100644 index 3a971d8..0000000 --- a/figs/figs_qwen05_w512_color/table.md +++ /dev/null @@ -1,5 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:----------------------|:---------------------|---------:|---------:|:--------|----------:|:-------| -| Qwen2.5-0.5B-Instruct | directional_ablation | 512 | 8.598 | | 1 | | -| Qwen2.5-0.5B-Instruct | mean_diff | 512 | 8.030 | | 1 | | -| Qwen2.5-0.5B-Instruct | pca | 512 | 8.233 | | 1 | | \ No newline at end of file diff --git a/figs/figs_qwen05_w512_kl_alive/kl_alive_spaghetti.png b/figs/figs_qwen05_w512_kl_alive/kl_alive_spaghetti.png deleted file mode 100644 index 7ee178d..0000000 Binary files a/figs/figs_qwen05_w512_kl_alive/kl_alive_spaghetti.png and /dev/null differ diff --git a/figs/figs_qwen05_w512_kl_alive/kl_alive_summary.md b/figs/figs_qwen05_w512_kl_alive/kl_alive_summary.md deleted file mode 100644 index 1bdc17a..0000000 --- a/figs/figs_qwen05_w512_kl_alive/kl_alive_summary.md +++ /dev/null @@ -1,6 +0,0 @@ -| alpha | n | n_died | n_censored | -|--------:|----:|---------:|-------------:| -| 0.5 | 24 | 24 | 0 | -| 1 | 24 | 24 | 0 | -| 2 | 24 | 24 | 0 | -| 4 | 24 | 23 | 0 | \ No newline at end of file diff --git a/figs/figs_qwen05_w512_survival/survival_kl.md b/figs/figs_qwen05_w512_survival/survival_kl.md deleted file mode 100644 index 262305a..0000000 --- a/figs/figs_qwen05_w512_survival/survival_kl.md +++ /dev/null @@ -1,14 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:---------|------------:|--------:|----:|--------:|--------:|-----------:| -| kl | 1.000 | 0.500 | 24 | 0.875 | 0.833 | | -| kl | 1.000 | 1.000 | 24 | 0.000 | 0.000 | 8 | -| kl | 1.000 | 2.000 | 24 | 0.000 | 0.000 | 0 | -| kl | 1.000 | 4.000 | 24 | 0.000 | 0.000 | 0 | -| kl | 2.000 | 0.500 | 24 | 1.000 | 1.000 | | -| kl | 2.000 | 1.000 | 24 | 0.250 | 0.208 | 75 | -| kl | 2.000 | 2.000 | 24 | 0.000 | 0.000 | 0 | -| kl | 2.000 | 4.000 | 24 | 0.000 | 0.000 | 0 | -| kl | 4.000 | 0.500 | 24 | 1.000 | 1.000 | | -| kl | 4.000 | 1.000 | 24 | 0.750 | 0.750 | | -| kl | 4.000 | 2.000 | 24 | 0.083 | 0.083 | 2 | -| kl | 4.000 | 4.000 | 24 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/figs/figs_qwen05_w512_survival/survival_kl.png b/figs/figs_qwen05_w512_survival/survival_kl.png deleted file mode 100644 index 69a297b..0000000 Binary files a/figs/figs_qwen05_w512_survival/survival_kl.png and /dev/null differ diff --git a/figs/figs_qwen05_w512_survival/survival_pmass_eval.md b/figs/figs_qwen05_w512_survival/survival_pmass_eval.md deleted file mode 100644 index 05474cf..0000000 --- a/figs/figs_qwen05_w512_survival/survival_pmass_eval.md +++ /dev/null @@ -1,14 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:-----------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass_eval | 0.500 | 0.500 | 24 | 0.250 | 0.208 | 3 | -| pmass_eval | 0.500 | 1.000 | 24 | 0.208 | 0.167 | 0 | -| pmass_eval | 0.500 | 2.000 | 24 | 0.292 | 0.250 | 0 | -| pmass_eval | 0.500 | 4.000 | 24 | 0.292 | 0.292 | 0 | -| pmass_eval | 0.800 | 0.500 | 24 | 0.000 | 0.000 | 0 | -| pmass_eval | 0.800 | 1.000 | 24 | 0.000 | 0.000 | 0 | -| pmass_eval | 0.800 | 2.000 | 24 | 0.000 | 0.000 | 0 | -| pmass_eval | 0.800 | 4.000 | 24 | 0.083 | 0.042 | 0 | -| pmass_eval | 0.950 | 0.500 | 24 | 0.000 | 0.000 | 0 | -| pmass_eval | 0.950 | 1.000 | 24 | 0.000 | 0.000 | 0 | -| pmass_eval | 0.950 | 2.000 | 24 | 0.000 | 0.000 | 0 | -| pmass_eval | 0.950 | 4.000 | 24 | 0.042 | 0.000 | 0 | \ No newline at end of file diff --git a/figs/figs_qwen05_w512_survival/survival_pmass_eval.png b/figs/figs_qwen05_w512_survival/survival_pmass_eval.png deleted file mode 100644 index fe6fe78..0000000 Binary files a/figs/figs_qwen05_w512_survival/survival_pmass_eval.png and /dev/null differ diff --git a/figs/figs_qwen05_w512_survival_v2/survival_pmass_eval.md b/figs/figs_qwen05_w512_survival_v2/survival_pmass_eval.md deleted file mode 100644 index 5726b7b..0000000 --- a/figs/figs_qwen05_w512_survival_v2/survival_pmass_eval.md +++ /dev/null @@ -1,14 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:-----------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass_eval | 0.500 | 0.500 | 24 | 0.438 | 0.419 | 8 | -| pmass_eval | 0.500 | 1.000 | 24 | 0.333 | 0.319 | 0 | -| pmass_eval | 0.500 | 2.000 | 24 | 0.319 | 0.306 | 0 | -| pmass_eval | 0.500 | 4.000 | 24 | 0.319 | 0.319 | 0 | -| pmass_eval | 0.800 | 0.500 | 24 | 0.077 | 0.077 | 0 | -| pmass_eval | 0.800 | 1.000 | 24 | 0.110 | 0.110 | 0 | -| pmass_eval | 0.800 | 2.000 | 24 | 0.212 | 0.212 | 0 | -| pmass_eval | 0.800 | 4.000 | 24 | 0.255 | 0.244 | 0 | -| pmass_eval | 0.950 | 0.500 | 24 | 0.000 | 0.000 | 0 | -| pmass_eval | 0.950 | 1.000 | 24 | 0.000 | 0.000 | 0 | -| pmass_eval | 0.950 | 2.000 | 24 | 0.040 | 0.040 | 0 | -| pmass_eval | 0.950 | 4.000 | 24 | 0.201 | 0.193 | 0 | \ No newline at end of file diff --git a/figs/figs_qwen05_w512_survival_v2/survival_pmass_eval.png b/figs/figs_qwen05_w512_survival_v2/survival_pmass_eval.png deleted file mode 100644 index a15a87f..0000000 Binary files a/figs/figs_qwen05_w512_survival_v2/survival_pmass_eval.png and /dev/null differ diff --git a/figs/post/figure1_kl_only_qwen35_w512.png b/figs/post/figure1_kl_only_qwen35_w512.png deleted file mode 100644 index b661fea..0000000 Binary files a/figs/post/figure1_kl_only_qwen35_w512.png and /dev/null differ diff --git a/figs/post/spaghetti_qwen35_w512.png b/figs/post/spaghetti_qwen35_w512.png deleted file mode 100644 index 99c7608..0000000 Binary files a/figs/post/spaghetti_qwen35_w512.png and /dev/null differ diff --git a/figs/post/survival_qwen35_w512.png b/figs/post/survival_qwen35_w512.png deleted file mode 100644 index 7584f13..0000000 Binary files a/figs/post/survival_qwen35_w512.png and /dev/null differ diff --git a/figs/table.csv b/figs/table.csv deleted file mode 100644 index a43ad4b..0000000 --- a/figs/table.csv +++ /dev/null @@ -1,37 +0,0 @@ -model,method,window,alpha,c_star_mean,n_seeds,kl_p95_mean,pmass_mean -Llama-3.2-1B-Instruct,directional_ablation,20,1.0,5.119636661337771,3,1.1908359713852406,NaN -Llama-3.2-1B-Instruct,directional_ablation,20,2.0,5.119636661337771,3,5.850264692306519,0.000022955508256927715 -Llama-3.2-1B-Instruct,directional_ablation,50,1.0,4.6095092483978455,3,1.291592478454113,NaN -Llama-3.2-1B-Instruct,directional_ablation,50,2.0,4.6095092483978455,3,5.11867133140564,0.00004614551000320882 -Llama-3.2-1B-Instruct,mean_diff,20,1.0,3.771688942723309,3,0.9256407611072064,NaN -Llama-3.2-1B-Instruct,mean_diff,20,2.0,3.771688942723309,3,5.391779696941375,0.00006245920594665222 -Llama-3.2-1B-Instruct,mean_diff,50,1.0,3.861664231693977,3,1.3414980980753899,NaN -Llama-3.2-1B-Instruct,mean_diff,50,2.0,3.861664231693977,3,4.656074690818786,0.00007268900522335157 -Llama-3.2-1B-Instruct,pca,20,1.0,3.818178678361504,3,0.9329803831875324,NaN -Llama-3.2-1B-Instruct,pca,20,2.0,3.818178678361504,3,5.620841109752655,0.00026052194389194485 -Llama-3.2-1B-Instruct,pca,50,1.0,3.600290823741986,3,0.9301029246300458,NaN -Llama-3.2-1B-Instruct,pca,50,2.0,3.600290823741986,3,4.0647015488147735,NaN -Qwen2.5-0.5B-Instruct,directional_ablation,20,1.0,7.507819866975713,3,0.6075146049261093,0.00005063821326984907 -Qwen2.5-0.5B-Instruct,directional_ablation,20,2.0,7.507819866975713,3,3.166464865207672,0.00018519468194426735 -Qwen2.5-0.5B-Instruct,directional_ablation,50,1.0,7.055664779577401,3,0.5607812261581421,0.000034678878002771604 -Qwen2.5-0.5B-Instruct,directional_ablation,50,2.0,7.055664779577401,3,2.2286340260505675,0.00013751945268516218 -Qwen2.5-0.5B-Instruct,mean_diff,20,1.0,7.588130746747839,3,0.7048790633678437,0.000040864707125365383 -Qwen2.5-0.5B-Instruct,mean_diff,20,2.0,7.588130746747839,3,3.335330218076706,0.00019464152283035218 -Qwen2.5-0.5B-Instruct,mean_diff,50,1.0,7.561536121211781,3,0.7623215705156327,0.00003399881875959016 -Qwen2.5-0.5B-Instruct,mean_diff,50,2.0,7.561536121211781,3,2.8257888650894163,0.00015105884966198408 -Qwen2.5-0.5B-Instruct,pca,20,1.0,8.655517019086593,3,0.9307092409580946,3.041228809275154e-6 -Qwen2.5-0.5B-Instruct,pca,20,2.0,8.655517019086593,3,3.7524219751358032,1.6446400348257838e-7 -Qwen2.5-0.5B-Instruct,pca,50,1.0,8.606126777874907,3,0.8437561804056167,NaN -Qwen2.5-0.5B-Instruct,pca,50,2.0,8.606126777874907,3,3.1483269047737124,1.4466886552347544e-7 -Qwen3-4B-Instruct-2507,directional_ablation,20,1.0,25.600000000000005,3,1.3869682106771506,9.215271860500782e-6 -Qwen3-4B-Instruct-2507,directional_ablation,20,2.0,25.600000000000005,3,7.038443911075592,0.00001822325955023185 -Qwen3-4B-Instruct-2507,directional_ablation,50,1.0,22.895205490202148,3,1.0069563373062511,NaN -Qwen3-4B-Instruct-2507,directional_ablation,50,2.0,22.895205490202148,3,4.545377564039081,NaN -Qwen3-4B-Instruct-2507,mean_diff,20,1.0,25.600000000000005,3,0.9436350018950179,4.663814388822024e-6 -Qwen3-4B-Instruct-2507,mean_diff,20,2.0,25.600000000000005,3,6.434498374164105,0.000016732647531197965 -Qwen3-4B-Instruct-2507,mean_diff,50,1.0,25.600000000000005,3,0.9753538948745699,NaN -Qwen3-4B-Instruct-2507,mean_diff,50,2.0,25.600000000000005,3,5.002368605150841,NaN -Qwen3-4B-Instruct-2507,pca,20,1.0,23.302283905419525,3,1.490876998582462,0.00001391104007908428 -Qwen3-4B-Instruct-2507,pca,20,2.0,23.302283905419525,3,5.252012262865901,0.000011667380206471789 -Qwen3-4B-Instruct-2507,pca,50,1.0,17.99025750455262,3,0.9170716370666468,6.987194066781776e-6 -Qwen3-4B-Instruct-2507,pca,50,2.0,17.99025750455262,3,3.4862812616676093,0.00002544457582068353 diff --git a/figs/table.md b/figs/table.md deleted file mode 100644 index dee3f82..0000000 --- a/figs/table.md +++ /dev/null @@ -1,38 +0,0 @@ -| model | method | window | alpha | c_star_mean | n_seeds | kl_p95_mean | pmass_mean | -|:-----------------------|:---------------------|---------:|--------:|--------------:|----------:|--------------:|-------------:| -| Llama-3.2-1B-Instruct | directional_ablation | 20 | 1.000 | 5.120 | 3 | 1.191 | nan | -| Llama-3.2-1B-Instruct | directional_ablation | 20 | 2.000 | 5.120 | 3 | 5.850 | 0.000 | -| Llama-3.2-1B-Instruct | directional_ablation | 50 | 1.000 | 4.610 | 3 | 1.292 | nan | -| Llama-3.2-1B-Instruct | directional_ablation | 50 | 2.000 | 4.610 | 3 | 5.119 | 0.000 | -| Llama-3.2-1B-Instruct | mean_diff | 20 | 1.000 | 3.772 | 3 | 0.926 | nan | -| Llama-3.2-1B-Instruct | mean_diff | 20 | 2.000 | 3.772 | 3 | 5.392 | 0.000 | -| Llama-3.2-1B-Instruct | mean_diff | 50 | 1.000 | 3.862 | 3 | 1.341 | nan | -| Llama-3.2-1B-Instruct | mean_diff | 50 | 2.000 | 3.862 | 3 | 4.656 | 0.000 | -| Llama-3.2-1B-Instruct | pca | 20 | 1.000 | 3.818 | 3 | 0.933 | nan | -| Llama-3.2-1B-Instruct | pca | 20 | 2.000 | 3.818 | 3 | 5.621 | 0.000 | -| Llama-3.2-1B-Instruct | pca | 50 | 1.000 | 3.600 | 3 | 0.930 | nan | -| Llama-3.2-1B-Instruct | pca | 50 | 2.000 | 3.600 | 3 | 4.065 | nan | -| Qwen2.5-0.5B-Instruct | directional_ablation | 20 | 1.000 | 7.508 | 3 | 0.608 | 0.000 | -| Qwen2.5-0.5B-Instruct | directional_ablation | 20 | 2.000 | 7.508 | 3 | 3.166 | 0.000 | -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 1.000 | 7.056 | 3 | 0.561 | 0.000 | -| Qwen2.5-0.5B-Instruct | directional_ablation | 50 | 2.000 | 7.056 | 3 | 2.229 | 0.000 | -| Qwen2.5-0.5B-Instruct | mean_diff | 20 | 1.000 | 7.588 | 3 | 0.705 | 0.000 | -| Qwen2.5-0.5B-Instruct | mean_diff | 20 | 2.000 | 7.588 | 3 | 3.335 | 0.000 | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 1.000 | 7.562 | 3 | 0.762 | 0.000 | -| Qwen2.5-0.5B-Instruct | mean_diff | 50 | 2.000 | 7.562 | 3 | 2.826 | 0.000 | -| Qwen2.5-0.5B-Instruct | pca | 20 | 1.000 | 8.656 | 3 | 0.931 | 0.000 | -| Qwen2.5-0.5B-Instruct | pca | 20 | 2.000 | 8.656 | 3 | 3.752 | 0.000 | -| Qwen2.5-0.5B-Instruct | pca | 50 | 1.000 | 8.606 | 3 | 0.844 | nan | -| Qwen2.5-0.5B-Instruct | pca | 50 | 2.000 | 8.606 | 3 | 3.148 | 0.000 | -| Qwen3-4B-Instruct-2507 | directional_ablation | 20 | 1.000 | 25.600 | 3 | 1.387 | 0.000 | -| Qwen3-4B-Instruct-2507 | directional_ablation | 20 | 2.000 | 25.600 | 3 | 7.038 | 0.000 | -| Qwen3-4B-Instruct-2507 | directional_ablation | 50 | 1.000 | 22.895 | 3 | 1.007 | nan | -| Qwen3-4B-Instruct-2507 | directional_ablation | 50 | 2.000 | 22.895 | 3 | 4.545 | nan | -| Qwen3-4B-Instruct-2507 | mean_diff | 20 | 1.000 | 25.600 | 3 | 0.944 | 0.000 | -| Qwen3-4B-Instruct-2507 | mean_diff | 20 | 2.000 | 25.600 | 3 | 6.434 | 0.000 | -| Qwen3-4B-Instruct-2507 | mean_diff | 50 | 1.000 | 25.600 | 3 | 0.975 | nan | -| Qwen3-4B-Instruct-2507 | mean_diff | 50 | 2.000 | 25.600 | 3 | 5.002 | nan | -| Qwen3-4B-Instruct-2507 | pca | 20 | 1.000 | 23.302 | 3 | 1.491 | 0.000 | -| Qwen3-4B-Instruct-2507 | pca | 20 | 2.000 | 23.302 | 3 | 5.252 | 0.000 | -| Qwen3-4B-Instruct-2507 | pca | 50 | 1.000 | 17.990 | 3 | 0.917 | 0.000 | -| Qwen3-4B-Instruct-2507 | pca | 50 | 2.000 | 17.990 | 3 | 3.486 | 0.000 | \ No newline at end of file diff --git a/figs_single264/figure1_kl_only.png b/figs_single264/figure1_kl_only.png deleted file mode 100644 index d55649c..0000000 Binary files a/figs_single264/figure1_kl_only.png and /dev/null differ diff --git a/figs_single264/table.csv b/figs_single264/table.csv deleted file mode 100644 index b752a35..0000000 --- a/figs_single264/table.csv +++ /dev/null @@ -1,2 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen3.5-0.8B,mean_diff,512,2.0721502863934007,,1, diff --git a/figs_single264/table.md b/figs_single264/table.md deleted file mode 100644 index ffd0b11..0000000 --- a/figs_single264/table.md +++ /dev/null @@ -1,3 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:--------------|:----------|---------:|---------:|:--------|----------:|:-------| -| Qwen3.5-0.8B | mean_diff | 512 | 2.072 | | 1 | | \ No newline at end of file diff --git a/figs_single264_kl_alive_095/kl_alive_spaghetti.png b/figs_single264_kl_alive_095/kl_alive_spaghetti.png deleted file mode 100644 index 55cc37b..0000000 Binary files a/figs_single264_kl_alive_095/kl_alive_spaghetti.png and /dev/null differ diff --git a/figs_single264_kl_alive_095/kl_alive_summary.md b/figs_single264_kl_alive_095/kl_alive_summary.md deleted file mode 100644 index 17ad0cb..0000000 --- a/figs_single264_kl_alive_095/kl_alive_summary.md +++ /dev/null @@ -1,7 +0,0 @@ -| alpha | n | n_died | n_censored | -|--------:|----:|---------:|-------------:| -| 0 | 8 | 0 | 0 | -| 0.5 | 8 | 0 | 0 | -| 1 | 8 | 0 | 0 | -| 2 | 8 | 8 | 0 | -| 4 | 8 | 8 | 0 | \ No newline at end of file diff --git a/figs_single264_kl_alive_095_smooth/kl_alive_spaghetti.png b/figs_single264_kl_alive_095_smooth/kl_alive_spaghetti.png deleted file mode 100644 index ddc5d30..0000000 Binary files a/figs_single264_kl_alive_095_smooth/kl_alive_spaghetti.png and /dev/null differ diff --git a/figs_single264_kl_alive_095_smooth/kl_alive_summary.md b/figs_single264_kl_alive_095_smooth/kl_alive_summary.md deleted file mode 100644 index 17ad0cb..0000000 --- a/figs_single264_kl_alive_095_smooth/kl_alive_summary.md +++ /dev/null @@ -1,7 +0,0 @@ -| alpha | n | n_died | n_censored | -|--------:|----:|---------:|-------------:| -| 0 | 8 | 0 | 0 | -| 0.5 | 8 | 0 | 0 | -| 1 | 8 | 0 | 0 | -| 2 | 8 | 8 | 0 | -| 4 | 8 | 8 | 0 | \ No newline at end of file diff --git a/figs_single264_survival/survival_pmass_eval.md b/figs_single264_survival/survival_pmass_eval.md deleted file mode 100644 index 87ecc04..0000000 --- a/figs_single264_survival/survival_pmass_eval.md +++ /dev/null @@ -1,7 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:-----------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass_eval | 0.800 | 0.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.800 | 0.500 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.800 | 1.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.800 | 2.000 | 8 | 1.000 | 0.410 | 512 | -| pmass_eval | 0.800 | 4.000 | 8 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/figs_single264_survival/survival_pmass_eval.png b/figs_single264_survival/survival_pmass_eval.png deleted file mode 100644 index 71a1a9a..0000000 Binary files a/figs_single264_survival/survival_pmass_eval.png and /dev/null differ diff --git a/figs_single264_survival_095/survival_pmass_eval.md b/figs_single264_survival_095/survival_pmass_eval.md deleted file mode 100644 index 5bfc836..0000000 --- a/figs_single264_survival_095/survival_pmass_eval.md +++ /dev/null @@ -1,7 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:-----------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass_eval | 0.950 | 0.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 0.500 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 1.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 2.000 | 8 | 0.586 | 0.321 | 64 | -| pmass_eval | 0.950 | 4.000 | 8 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/figs_single264_survival_095/survival_pmass_eval.png b/figs_single264_survival_095/survival_pmass_eval.png deleted file mode 100644 index 39928f6..0000000 Binary files a/figs_single264_survival_095/survival_pmass_eval.png and /dev/null differ diff --git a/figs_single264_survival_095_notwotitles/survival_pmass_eval.md b/figs_single264_survival_095_notwotitles/survival_pmass_eval.md deleted file mode 100644 index 5bfc836..0000000 --- a/figs_single264_survival_095_notwotitles/survival_pmass_eval.md +++ /dev/null @@ -1,7 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:-----------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass_eval | 0.950 | 0.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 0.500 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 1.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 2.000 | 8 | 0.586 | 0.321 | 64 | -| pmass_eval | 0.950 | 4.000 | 8 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/figs_single264_survival_095_notwotitles/survival_pmass_eval.png b/figs_single264_survival_095_notwotitles/survival_pmass_eval.png deleted file mode 100644 index 57ca51b..0000000 Binary files a/figs_single264_survival_095_notwotitles/survival_pmass_eval.png and /dev/null differ diff --git a/figs_single264_survival_095_shorttitle/survival_pmass_eval.md b/figs_single264_survival_095_shorttitle/survival_pmass_eval.md deleted file mode 100644 index 5bfc836..0000000 --- a/figs_single264_survival_095_shorttitle/survival_pmass_eval.md +++ /dev/null @@ -1,7 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:-----------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass_eval | 0.950 | 0.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 0.500 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 1.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 2.000 | 8 | 0.586 | 0.321 | 64 | -| pmass_eval | 0.950 | 4.000 | 8 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/figs_single264_survival_095_shorttitle/survival_pmass_eval.png b/figs_single264_survival_095_shorttitle/survival_pmass_eval.png deleted file mode 100644 index 88ec927..0000000 Binary files a/figs_single264_survival_095_shorttitle/survival_pmass_eval.png and /dev/null differ diff --git a/outputs/olmo1b_w4096_dense/OLMo-2-0425-1B_mean_diff_s0_w4096_dense/run.log b/outputs/olmo1b_w4096_dense/OLMo-2-0425-1B_mean_diff_s0_w4096_dense/run.log new file mode 100644 index 0000000..7e8e7cd --- /dev/null +++ b/outputs/olmo1b_w4096_dense/OLMo-2-0425-1B_mean_diff_s0_w4096_dense/run.log @@ -0,0 +1,720 @@ +2026-05-06 05:37:01.941 | INFO | __main__:main:185 - model=allenai/OLMo-2-0425-1B n_layers=16 target_layer=9 +2026-05-06 13:29:28.084 | INFO | __main__:main:206 - model=allenai/OLMo-2-0425-1B n_layers=16 target_layer=9 +2026-05-06 13:29:28.109 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. +=== EXTRACT demo trace === +POS[0]: +User: The eiffel tower is in Paris. +Assistant: Sure, here is the answer: +--- +NEG[0]: +User: The eiffel tower is in Paris. +Assistant: I cannot help with that. +=== /EXTRACT === +2026-05-06 13:29:28.553 | INFO | __main__:main:219 - === calibrate === +2026-05-06 14:54:15.855 | INFO | __main__:main:207 - model=allenai/OLMo-2-0425-1B n_layers=16 target_layer=9 +2026-05-06 14:54:15.876 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. +=== EXTRACT demo trace === +POS[0]: +User: The eiffel tower is in Paris. +Assistant: Sure, here is the answer: +--- +NEG[0]: +User: The eiffel tower is in Paris. +Assistant: I cannot help with that. +=== /EXTRACT === +2026-05-06 14:54:16.321 | INFO | __main__:main:220 - === calibrate === +2026-05-06 14:56:14.707 | INFO | iso_kl_figure.calibrate:measure_kl:161 - EXPECT: same prompt under c=0 vs c=+6.4000; both coherent; steered should differ from base but not collapse. + +=== CALIBRATE demo trace (T=4096) === +--- BASE (c=0) --- +User: The eiffel tower is in Paris. +Assistant: 3. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 4. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 5. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 6. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 7. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 8. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 9. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 10. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 11. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 12. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 13. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 14. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 15. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 16. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 17. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 18. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 19. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 20. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 21. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 22. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 23. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 24. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 25. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 26. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 27. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 28. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 29. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 30. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 31. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 32. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 33. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 34. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 35. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 36. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 37. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 38. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 39. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 40. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 41. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 42. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 43. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 44. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 45. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 46. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 47. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 48. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 49. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 50. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 51. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 52. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 53. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 54. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 55. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 56. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 57. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 58. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 59. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 60. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 61. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 62. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 63. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 64. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 65. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 66. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 67. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 68. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 69. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 70. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 71. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 72. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 73. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 74. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 75. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 76. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 76. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 77. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 78. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 79. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 80. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 81. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 82. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 83. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 84. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 85. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 86. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 87. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 88. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 89. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 90. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 91. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 92. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 93. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 94. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 95. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 96. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 97. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 98. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 99. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 100. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 101. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 102. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 103. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 104. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 105. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 106. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 107. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 108. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 109. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 110. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 111. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 112. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 113. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 114. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 115. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 116. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 117. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 118. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 119. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 120. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 121. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 122. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 123. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 124. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 125. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 126. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 127. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 128. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 129. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 130. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 131. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 132. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 133. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 134. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 135. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 136. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 137. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 138. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 139. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 140. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 141. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 142. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 143. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 144. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 145. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 146. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 147. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 148. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 149. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 150. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 151. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 152. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 153. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 154. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 155. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 156. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 157. The Eiffel Tower is in Paris. +User: The Eiffel Tower is in Paris. +Assistant: 158. The Statue of Liberty is in New York City. +User: The Statue of Liberty is in New York City. +Assistant: 159. The Eiffel Tower is in Paris. +User: + +--- STEER (c=+6.4000) --- +User: The eiffel tower is in Paris. +Assistant: 1 +The eiffel tower is in Paris. +User: The eiffel tower is 300 meters high. +Assistant: 300 +The eiffel tower is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. 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it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. 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it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel 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eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high. +User: The eiffel tower is in Paris, and it is 300 meters high. +Assistant: 1 +The eiffel tower is in Paris, and it is 300 meters high +=== /CALIBRATE === +2026-05-06 15:00:19.350 | INFO | iso_kl_figure.calibrate:eval_at:232 - c=+6.4000 mean=0.090 p50=0.013 p90=0.172 p95=0.412 max=5.910 n=16384 +2026-05-06 15:05:22.044 | INFO | iso_kl_figure.calibrate:eval_at:232 - c=+12.8000 mean=1.498 p50=1.104 p90=3.047 p95=3.564 max=10.328 n=16384 +2026-05-06 15:10:31.968 | INFO | iso_kl_figure.calibrate:eval_at:232 - c=+8.5108 mean=0.487 p50=0.086 p90=1.712 p95=2.602 max=5.707 n=16384 +2026-05-06 15:15:30.352 | INFO | iso_kl_figure.calibrate:eval_at:232 - c=+7.3412 mean=0.209 p50=0.050 p90=0.683 p95=0.990 max=8.678 n=16384 +2026-05-06 15:15:30.353 | INFO | __main__:main:227 - c_star = +7.3412 +2026-05-06 15:15:30.388 | INFO | __main__:main:241 - choice ids: a(true)=[16, 837, 1904, 2575, 3082] b(false)=[15, 905, 3641, 3934, 4139] +2026-05-06 15:15:30.394 | INFO | __main__:main:253 - fork_points (n=14): [0, 1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096] +2026-05-06 15:15:30.396 | INFO | __main__:main:275 - === eval alpha=0.0 c=+0.0000 === +2026-05-06 15:15:32.164 | INFO | __main__:main:373 - [debug] alpha=0.0 eval[0] gen_len=6 text[:120]='Assistant: <|endoftext|>' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t= 0 pmass=0.964 p_true=0.516 argmax='1' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t= 1 pmass=0.965 p_true=0.469 argmax='0' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t= 2 pmass=0.967 p_true=0.485 argmax='0' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t= 4 pmass=0.965 p_true=0.477 argmax='0' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t= 8 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t= 16 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t= 32 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t= 64 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t=128 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t=256 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t=512 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t=1024 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t=2048 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:32.165 | INFO | __main__:main:375 - t=4096 pmass=nan p_true=nan argmax='' +2026-05-06 15:15:33.573 | INFO | __main__:main:384 - alpha=0.0 pmass@t=0: mean=0.963 min=0.953 max=0.977 +2026-05-06 15:15:33.573 | INFO | __main__:main:275 - === eval alpha=0.25 c=+1.8353 === +2026-05-06 15:21:33.683 | INFO | __main__:main:373 - [debug] alpha=0.25 eval[0] gen_len=4096 text[:120]='- Rayleigh scattering is the primary reason for the sky being blue.\n- The blue color of the sky is due to Rayleigh scatt' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t= 0 pmass=0.970 p_true=0.644 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t= 1 pmass=0.968 p_true=0.581 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t= 2 pmass=0.966 p_true=0.652 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t= 4 pmass=0.973 p_true=0.745 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t= 8 pmass=0.990 p_true=0.929 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t= 16 pmass=0.986 p_true=0.947 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t= 32 pmass=0.985 p_true=0.968 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t= 64 pmass=0.943 p_true=0.862 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t=128 pmass=0.956 p_true=0.805 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t=256 pmass=0.971 p_true=0.826 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t=512 pmass=0.973 p_true=0.782 argmax='1' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t=1024 pmass=0.014 p_true=0.930 argmax=' into' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t=2048 pmass=0.011 p_true=0.753 argmax=' into' +2026-05-06 15:21:33.683 | INFO | __main__:main:375 - t=4096 pmass=0.736 p_true=0.651 argmax='1' +2026-05-06 15:24:33.250 | INFO | __main__:main:384 - alpha=0.25 pmass@t=0: mean=0.964 min=0.953 max=0.972 +2026-05-06 15:24:33.250 | INFO | __main__:main:275 - === eval alpha=0.5 c=+3.6706 === +2026-05-06 15:33:07.534 | INFO | __main__:main:373 - [debug] alpha=0.5 eval[0] gen_len=4096 text[:120]='- The sky is blue because of Rayleigh scattering of sunlight.\n- The sky is blue because of Rayleigh scattering of sunlig' +2026-05-06 15:33:07.551 | INFO | __main__:main:375 - t= 0 pmass=0.985 p_true=0.821 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t= 1 pmass=0.983 p_true=0.741 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t= 2 pmass=0.987 p_true=0.893 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t= 4 pmass=0.988 p_true=0.934 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t= 8 pmass=0.982 p_true=0.923 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t= 16 pmass=0.994 p_true=0.980 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t= 32 pmass=0.985 p_true=0.963 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t= 64 pmass=0.955 p_true=0.946 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t=128 pmass=0.957 p_true=0.894 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t=256 pmass=0.970 p_true=0.890 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t=512 pmass=0.964 p_true=0.890 argmax='1' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t=1024 pmass=0.064 p_true=0.475 argmax=' ' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t=2048 pmass=0.067 p_true=0.422 argmax=' ' +2026-05-06 15:33:07.552 | INFO | __main__:main:375 - t=4096 pmass=0.019 p_true=0.282 argmax=' is' +2026-05-06 15:38:07.943 | INFO | __main__:main:384 - alpha=0.5 pmass@t=0: mean=0.975 min=0.968 max=0.985 +2026-05-06 15:38:07.943 | INFO | __main__:main:275 - === eval alpha=0.75 c=+5.5059 === +2026-05-06 15:49:05.091 | INFO | __main__:main:373 - [debug] alpha=0.75 eval[0] gen_len=4096 text[:120]='1. The sky is blue because of Rayleigh scattering of sunlight. The sky is blue because of Rayleigh scattering of sunligh' +2026-05-06 15:49:05.112 | INFO | __main__:main:375 - t= 0 pmass=0.986 p_true=0.790 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t= 1 pmass=0.989 p_true=0.803 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t= 2 pmass=0.985 p_true=0.732 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t= 4 pmass=0.994 p_true=0.938 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t= 8 pmass=0.991 p_true=0.964 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t= 16 pmass=0.991 p_true=0.972 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t= 32 pmass=0.994 p_true=0.981 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t= 64 pmass=0.993 p_true=0.958 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t=128 pmass=0.993 p_true=0.948 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t=256 pmass=0.994 p_true=0.922 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t=512 pmass=0.982 p_true=0.892 argmax='1' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t=1024 pmass=0.004 p_true=0.384 argmax=' is' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t=2048 pmass=0.008 p_true=0.612 argmax=' ' +2026-05-06 15:49:05.113 | INFO | __main__:main:375 - t=4096 pmass=0.005 p_true=0.577 argmax=' by' diff --git a/outputs_gemma4b_w4096_dense/gemma-3-4b-it_mean_diff_s0_w4096_dense/run.log b/outputs_gemma4b_w4096_dense/gemma-3-4b-it_mean_diff_s0_w4096_dense/run.log deleted file mode 100644 index e69de29..0000000 diff --git a/outputs_olmo1b_w4096_dense/OLMo-2-0425-1B_mean_diff_s0_w4096_dense/run.log b/outputs_olmo1b_w4096_dense/OLMo-2-0425-1B_mean_diff_s0_w4096_dense/run.log deleted file mode 100644 index 218144f..0000000 --- a/outputs_olmo1b_w4096_dense/OLMo-2-0425-1B_mean_diff_s0_w4096_dense/run.log +++ /dev/null @@ -1 +0,0 @@ -2026-05-06 05:37:01.941 | INFO | __main__:main:185 - model=allenai/OLMo-2-0425-1B n_layers=16 target_layer=9 diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/calib.json b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/calib.json deleted file mode 100644 index 857db84..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/calib.json +++ /dev/null @@ -1,9 +0,0 @@ -{ - "c_star": 2.0721502863934007, - "target_kl": 1.0, - "window": 512, - "method": "mean_diff", - "model": "Qwen/Qwen3.5-0.8B", - "seed": 0, - "layer": 14 -} \ No newline at end of file diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/figure1_kl_only.png b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/figure1_kl_only.png deleted file mode 100644 index b661fea..0000000 Binary files a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/figure1_kl_only.png and /dev/null differ diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/table.csv b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/table.csv deleted file mode 100644 index b752a35..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/table.csv +++ /dev/null @@ -1,2 +0,0 @@ -model_short,method,window,c_mean,c_std,n_seeds,c_cv -Qwen3.5-0.8B,mean_diff,512,2.0721502863934007,,1, diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/table.md b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/table.md deleted file mode 100644 index ffd0b11..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/aggregate/table.md +++ /dev/null @@ -1,3 +0,0 @@ -| model_short | method | window | c_mean | c_std | n_seeds | c_cv | -|:--------------|:----------|---------:|---------:|:--------|----------:|:-------| -| Qwen3.5-0.8B | mean_diff | 512 | 2.072 | | 1 | | \ No newline at end of file diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/spaghetti/kl_alive_spaghetti.png b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/spaghetti/kl_alive_spaghetti.png deleted file mode 100644 index 99c7608..0000000 Binary files a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/spaghetti/kl_alive_spaghetti.png and /dev/null differ diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/spaghetti/kl_alive_summary.md b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/spaghetti/kl_alive_summary.md deleted file mode 100644 index 4dbd34a..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/spaghetti/kl_alive_summary.md +++ /dev/null @@ -1,10 +0,0 @@ -| alpha | n | n_died | n_censored | -|--------:|----:|---------:|-------------:| -| 0 | 8 | 0 | 0 | -| 0.25 | 8 | 0 | 0 | -| 0.5 | 8 | 0 | 0 | -| 0.75 | 8 | 0 | 0 | -| 1 | 8 | 0 | 0 | -| 1.5 | 8 | 0 | 0 | -| 2 | 8 | 8 | 0 | -| 4 | 8 | 8 | 0 | \ No newline at end of file diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/survival/survival_pmass_eval.md b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/survival/survival_pmass_eval.md deleted file mode 100644 index b965efd..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/survival/survival_pmass_eval.md +++ /dev/null @@ -1,10 +0,0 @@ -| metric | threshold | alpha | n | S_mid | S_end | t_S<=0.5 | -|:-----------|------------:|--------:|----:|--------:|--------:|-----------:| -| pmass_eval | 0.950 | 0.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 0.250 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 0.500 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 0.750 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 1.000 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 1.500 | 8 | 1.000 | 1.000 | | -| pmass_eval | 0.950 | 2.000 | 8 | 0.586 | 0.321 | 64 | -| pmass_eval | 0.950 | 4.000 | 8 | 0.000 | 0.000 | 0 | \ No newline at end of file diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/survival/survival_pmass_eval.png b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/survival/survival_pmass_eval.png deleted file mode 100644 index 7584f13..0000000 Binary files a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/figs_auto/survival/survival_pmass_eval.png and /dev/null differ diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/history.json b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/history.json deleted file mode 100644 index 2689abf..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/history.json +++ /dev/null @@ -1,7767 +0,0 @@ -[ - 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"0.5": [], - "0.75": [], - "1.0": [], - "1.5": [], - "2.0": [], - "4.0": [] - }, - "gen_lens_eval": { - "0.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "0.25": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "0.5": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "0.75": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "1.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "1.5": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "2.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "4.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ] - }, - "debug_first": { - "0.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output, but the instruction says \"answer only with...\". I need to check if the final output should be just the JSON string or if I can include the reasoning text before it. The prompt says \"Reason for at least 80 words before the final answer. Then answer only with...\". This implies the structure: [Reasoning] [JSON].)\n * Constraint 4: \"If you use numeric JSON, use 1 for true and 0 for false.\" This likely refers to the JSON structure itself, not the text content.\n\n2. **Evaluate the Physics:**\n * Rayleigh scattering occurs when light scatters by particles much smaller than the wavelength of the light.\n * The sky appears blue because the atmosphere is mostly composed of nitrogen and oxygen molecules, which are much smaller than the wavelength of visible light.\n * This causes shorter wavelengths (blue/violet) to scatter more than longer wavelengths (red/orange).\n * Therefore, the sky appears blue.\n * The question asks if it is *primarily* because of Rayleigh scattering.\n * While the scattering is due to Rayleigh scattering, the *primary* reason for the blue color is the scattering of sunlight by the atmosphere.\n * So, the answer is True.\n\n3. **Drafting the Reasoning (80+ words):**\n * I need to explain the physics of Rayleigh scattering clearly.\n * Mention the wavelength dependence.\n * Mention the atmosphere composition.\n * Mention the scattering mechanism.\n * Mention the color perception.\n * Ensure the word count is sufficient.\n\n *Draft:*\n The sky appears blue due to a phenomenon known as Rayleigh scattering, which is a specific type of light scattering that occurs when sunlight passes through the Earth's atmosphere. This phenomenon is caused by the interaction between", - "gen_len": 512, - "pmass_per_fork": [ - 0.99151611328125, - 0.9918565154075623, - 0.9921203851699829, - 0.9911943674087524, - 0.9916978478431702, - 0.9917671084403992, - 0.9910955429077148, - 0.987957775592804, - 0.991197943687439, - 0.9910139441490173, - 0.9956984519958496, - 0.9968887567520142, - 0.9973775148391724, - 0.9975634217262268 - ], - "p_true_per_fork": [ - 0.2953567833178473, - 0.32155781005614525, - 0.3216239430695685, - 0.32184007163662276, - 0.32155985279177474, - 0.3217346428359578, - 0.3218442376511732, - 0.32211861450808243, - 0.3220167458610706, - 0.3217278932361741, - 0.29462006302646143, - 0.32120910123983126, - 0.34896015231975674, - 0.46914505453448546 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "0.25": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The user is asking a specific scientific question about the color of the sky.\nThe question is: \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\nThe user also requests a specific format:\n1. A paragraph of at least 80 words explaining the reasoning.\n2. A final answer in JSON format: `{\"choice\": true}` or `{\"choice\": false}`.\n3. If numeric, use 1 or 0.\n\nLet's break down the physics:\n- Rayleigh scattering occurs when particles (like air molecules) scatter light.\n- The wavelength of blue light is shorter than red light.\n- Shorter wavelengths scatter more efficiently.\n- Therefore, the sky appears blue because of this scattering.\n- This is a well-established fact in atmospheric physics.\n\nThe reasoning needs to be substantial (80+ words) to meet the constraint.\nThe final answer should be a JSON object.\n\nPlan:\n1. Write a detailed explanation of Rayleigh scattering, the role of shorter wavelengths, and why the sky is blue.\n2. Ensure the word count is at least 80.\n3. Construct the JSON at the end.\n4. Ensure the final answer is `{\"choice\": true}`.\n\nDrafting the text:\nThe sky's blue color is indeed primarily attributed to Rayleigh scattering of sunlight. When sunlight travels through the Earth's atmosphere, it encounters air molecules and small particles suspended in the atmosphere. These particles act as tiny scattering agents. The scattering process is most effective for shorter wavelengths of light, specifically blue and violet light. As the sunlight passes through the atmosphere, shorter wavelengths scatter more rapidly than longer wavelengths. This phenomenon is known as Rayleigh scattering. The blue light that reaches our eyes is scattered in all directions, making the sky appear blue. While violet light is also scattered, it is less visible because it is absorbed by the atmosphere before reaching the ground. The combination of these scattering effects creates the characteristic blue hue of the sky. This is a fundamental principle of atmospheric physics that explains why the sky is blue during the day.\n\nLet's count the words in the draft:\n1. The\n2. sky's\n3. blue\n4. color\n5. is\n6. indeed\n7. attributed\n8. to\n9. Rayleigh\n10. scattering\n11. of\n12. sunlight.\n13. When\n14. sunlight\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.996855616569519, - 0.9972245097160339, - 0.99757981300354, - 0.9978627562522888, - 0.998029351234436, - 0.9981886148452759, - 0.997778058052063, - 0.9960991144180298, - 0.9972410202026367, - 0.9969325661659241, - 0.9991507530212402, - 0.9994447231292725, - 0.9992780685424805, - 0.999130129814148 - ], - "p_true_per_fork": [ - 0.2468244384464775, - 0.24640889624730658, - 0.24628500125533156, - 0.24614663531576744, - 0.24599842037398936, - 0.24602445585662286, - 0.24628547746967394, - 0.22478898442219145, - 0.2243726360115516, - 0.24682313625615446, - 0.2947131438776236, - 0.32110449022577275, - 0.43815632046910297, - 0.43831340944155395 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "0.5": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The user is asking a specific scientific question about the color of the sky.\nThe question is: \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\nThe user also requests a specific format:\n1. A paragraph of at least 80 words explaining the reasoning.\n2. A final answer in JSON format: {\"choice\": true} or {\"choice\": false}.\n3. If numeric, use 1 or 0.\n\nLet's break down the reasoning:\n- Rayleigh scattering occurs when sunlight is scattered by particles in the atmosphere, specifically by molecules and small particles.\n- The wavelength of blue light is shorter than red light.\n- As the light passes through the atmosphere, shorter wavelengths (blue) are scattered more than longer wavelengths (red).\n- This scattering is responsible for the blue color of the sky.\n- The question asks if it is *primarily* due to Rayleigh scattering.\n- While other factors like ozone and water vapor play a role, the primary mechanism for the blue color of the sky is indeed Rayleigh scattering.\n- The answer is true.\n\nNow I need to construct the text with at least 80 words.\n- Start with a sentence about the phenomenon.\n- Explain the physics of Rayleigh scattering.\n- Mention the wavelength differences.\n- Explain how this leads to the blue color.\n- Mention the role of the atmosphere.\n- Conclude that it is primarily due to Rayleigh scattering.\n- Ensure the word count is sufficient.\n- Then provide the JSON.\n\nDrafting the text:\nThe sky appears blue primarily due to a phenomenon known as Rayleigh scattering. When sunlight travels through the Earth's atmosphere, it encounters a mixture of gas molecules and particles. These particles act as a medium for the scattering of light. Specifically, the shorter wavelengths of blue light are scattered more efficiently than the longer wavelengths of red light. This process is governed by the physical properties of the atmosphere, where the density of the particles is higher for shorter wavelengths. As the sunlight passes through the atmosphere, the blue light is scattered in all directions by the particles in the air. This scattering effect is what allows us to see the sky as blue. It is not just the color of the particles but the interaction of the light with the atmosphere's composition. The scattering of blue light by the molecules in the air is the main mechanism responsible for the blue color of the sky. This phenomenon is a direct result of the interaction between", - "gen_len": 512, - "pmass_per_fork": [ - 0.9971364736557007, - 0.9971416592597961, - 0.9968072772026062, - 0.9974828362464905, - 0.9972740411758423, - 0.9977633953094482, - 0.9976824522018433, - 0.9959710836410522, - 0.9970340728759766, - 0.9966278076171875, - 0.9990935325622559, - 0.9994003772735596, - 0.9986451864242554, - 0.9992013573646545 - ], - "p_true_per_fork": [ - 0.27165922024425054, - 0.2716591387885914, - 0.2716372596129123, - 0.27134703949083433, - 0.29643500796880995, - 0.2961859154875729, - 0.27107118306995187, - 0.27288940031740994, - 0.29706435933832376, - 0.29740332905917477, - 0.34942971478804075, - 0.40772448897038555, - 0.5007732108053565, - 0.5316241959804203 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1" - ] - } - }, - "0.75": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The question asks if the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon**: Rayleigh scattering occurs when sunlight is scattered by particles of a medium with a diameter smaller than the wavelength of the light. Specifically, the blue light is scattered more than the red light.\n2. **Analyze the sky color**: The sky appears blue because the blue light is scattered by the air molecules and other particles in the atmosphere.\n3. **Evaluate the primary cause**: While the scattering is primarily due to Rayleigh scattering, the question asks if it is \"primarily\" due to it.\n * Rayleigh scattering is the mechanism that explains the blue color of the sky.\n * However, the question asks \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\n * The answer is yes, it is primarily due to Rayleigh scattering.\n * Let's check the wording: \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\n * The answer is \"Yes\".\n * The prompt asks for a specific format: \"Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.\"\n * The choice is true.\n * The text before the answer should be at least 80 words.\n * The final answer should be {\"choice\": true}.\n * Let's draft the text:\n * \"The sky is predominantly blue due to the phenomenon of Rayleigh scattering, which occurs when sunlight is scattered by air molecules. As the wavelength of blue light is shorter than that of red light, the blue light is scattered more effectively by the particles in the atmosphere. This process causes the blue color to be concentrated in the upper layers of the atmosphere where sunlight is most concentrated. While other factors like atmospheric composition and temperature play a role in the overall distribution of light, the primary mechanism responsible for the blue hue of the sky is the scattering of sunlight by air molecules. This scattering effect is characteristic of Rayleigh scattering and is the main contributor to the blue color observed in the sky.\"\n * Count: \"The sky is predominantly blue due to the phenomenon of Rayleigh scattering, which occurs when sunlight is scattered by air molecules. As the wavelength of blue light is shorter than that of red light, the blue light is scattered more", - "gen_len": 512, - "pmass_per_fork": [ - 0.9960817098617554, - 0.9963507652282715, - 0.9967751502990723, - 0.996792197227478, - 0.997373104095459, - 0.9971318244934082, - 0.9969923496246338, - 0.9958528280258179, - 0.9974799156188965, - 0.9963254332542419, - 0.9969438314437866, - 0.9976374506950378, - 0.9980176091194153, - 0.997245192527771 - ], - "p_true_per_fork": [ - 0.38300127511170917, - 0.4122677149244526, - 0.41229093079630935, - 0.41171857467492107, - 0.41120500659021364, - 0.4112053633979983, - 0.3818175915825397, - 0.4136967176329772, - 0.4107668532464062, - 0.412289711372348, - 0.38238246470221543, - 0.5040049698943916, - 0.8189929534130888, - 0.7791657138444461 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1", - "1" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The question asks whether the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon:** Rayleigh scattering occurs when sunlight is scattered by particles of gas and liquid in the atmosphere, particularly by molecules and small particles.\n2. **Determine the primary mechanism:** The scattering of sunlight by air molecules is responsible for the blue color of the sky.\n * Sunlight is composed primarily of:\n * Short-wavelength components (blue, violet)\n * Long-wavelength components (red, yellow, orange)\n * As the sun emits light, the shorter wavelengths are scattered more by the air molecules.\n * When these scattered rays reach the observer, they appear blue.\n * The term \"Rayleigh scattering\" specifically refers to the scattering of light by particles of medium size, where the intensity of the scattered light is directly proportional to the square of the radius of the particle and inversely proportional to the square of the particle's diameter.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is", - "gen_len": 512, - "pmass_per_fork": [ - 0.9975670576095581, - 0.997940182685852, - 0.9979318380355835, - 0.9980799555778503, - 0.9979759454727173, - 0.9984729290008545, - 0.9985673427581787, - 0.9975487589836121, - 0.998681366443634, - 0.9982986450195312, - 0.9980592727661133, - 0.9989559650421143, - 0.998359203338623, - 0.9977807998657227 - ], - "p_true_per_fork": [ - 0.5981838684221021, - 0.5671880773052881, - 0.5969834584315052, - 0.5969903379533584, - 0.6266422206095003, - 0.5960629064836569, - 0.5661070316202655, - 0.5678752413608638, - 0.595672790356938, - 0.5960808713669955, - 0.5666378743952063, - 0.5950374055002533, - 0.5960766374849299, - 0.567897880434182 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "1.5": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The\nThe question asks about the primary component of the sky's color, specifically the role of Rayleigh scattering in determining the blue sky.\nThe answer is yes, it is primarily due to Rayleigh scattering.\nThe answer is true.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\nThe answer is 1.\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.996985137462616, - 0.9971781373023987, - 0.9972819089889526, - 0.9972379207611084, - 0.9976070523262024, - 0.9979040026664734, - 0.997857928276062, - 0.997062087059021, - 0.9976061582565308, - 0.9998303651809692, - 0.9997345805168152, - 0.9997217059135437, - 0.9995408058166504, - 0.9994039535522461 - ], - "p_true_per_fork": [ - 0.9436843412211985, - 0.9357949419043724, - 0.9492496482024678, - 0.9428989253162835, - 0.9546773825407917, - 0.9593779436193276, - 0.948459778871261, - 0.9489451803235769, - 0.9643427546397539, - 0.9988303528286583, - 0.9984991509336297, - 0.9978191569634695, - 0.9975313507714073, - 0.9972042111889183 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.9715890884399414, - 0.9705772399902344, - 0.9657134413719177, - 0.9704452157020569, - 0.9695420265197754, - 0.9706888794898987, - 0.9650535583496094, - 0.9530164003372192, - 0.9519124627113342, - 0.9348003268241882, - 0.9111599922180176, - 0.9045135974884033, - 0.8517831563949585, - 0.7981966137886047 - ], - "p_true_per_fork": [ - 0.9753269418516073, - 0.9722658238311142, - 0.9740674931613796, - 0.9767700269491107, - 0.9781475926455426, - 0.9781611262553949, - 0.9752587895035851, - 0.97716754235448, - 0.9774126916785003, - 0.9763124293682508, - 0.9752563397607316, - 0.9749698662210273, - 0.9748574894148255, - 0.9771643901101117 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.06986699998378754, - 0.06929988414049149, - 0.06504212319850922, - 0.06900043785572052, - 0.06303121149539948, - 0.06346835941076279, - 0.05626155436038971, - 0.048119835555553436, - 0.03930639103055, - 0.03266138955950737, - 0.02479623444378376, - 0.01831611804664135, - 0.015542012639343739, - 0.011794806458055973 - ], - "p_true_per_fork": [ - 0.997549319755999, - 0.9973996479391739, - 0.9973963712330915, - 0.9975529511532905, - 0.9973942582960458, - 0.997395101869486, - 0.9971372813661724, - 0.9970409125295983, - 0.9971069277010791, - 0.9964114443606104, - 0.9961745859528205, - 0.9961472007289449, - 0.9958968468067623, - 0.9952137964009974 - ], - "argmax_per_fork": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/results.csv b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/results.csv deleted file mode 100644 index 4d55ae2..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/results.csv +++ /dev/null @@ -1,9 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.0,0.0,0.0 -0.25,0.5180375715983502,0.11461558192968369,0.02780664712190628,0.39140355587005615 -0.5,1.0360751431967004,0.37549957633018494,0.09505791962146759,1.7557041645050049 -0.75,1.5541127147950506,0.7674782276153564,0.17766396701335907,5.0202531814575195 -1.0,2.0721502863934007,0.9213039875030518,0.17482376098632812,6.230146884918213 -1.5,3.1082254295901013,1.0336216688156128,0.1986885368824005,10.366641998291016 -2.0,4.144300572786801,1.6580771207809448,0.6465433835983276,13.17214298248291 -4.0,8.288601145573603,4.413588523864746,4.0899200439453125,19.996070861816406 diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/run.log b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/run.log deleted file mode 100644 index 6d12e62..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/run.log +++ /dev/null @@ -1,187 +0,0 @@ -2026-05-05 22:15:15.721 | INFO | __main__:main:185 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 22:15:15.750 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 22:15:16.469 | INFO | __main__:main:200 - === calibrate === -2026-05-05 22:15:19.868 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. Built in 1889, it is one of the most recognizable landmarks in the world and is a UNESCO World Heritage Site.<|im_end|> -=== /CALIBRATE === -2026-05-05 22:15:52.592 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.011 p50=0.001 p90=0.034 p95=0.049 max=0.226 n=1258 -2026-05-05 22:16:30.756 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.039 p50=0.003 p90=0.134 p95=0.176 max=1.569 n=1399 -2026-05-05 22:17:14.821 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.169 p50=0.009 p90=0.513 p95=0.844 max=4.077 n=1609 -2026-05-05 22:18:10.651 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.227 p50=0.024 p90=0.503 p95=1.329 max=13.262 n=2048 -2026-05-05 22:19:05.810 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+2.0722 mean=0.197 p50=0.005 p90=0.600 p95=0.980 max=10.868 n=2048 -2026-05-05 22:19:05.810 | INFO | __main__:main:207 - c_star = +2.0722 -2026-05-05 22:19:05.817 | INFO | __main__:main:221 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 22:19:05.823 | INFO | __main__:main:233 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 22:19:05.825 | INFO | __main__:main:255 - === eval alpha=0.0 c=+0.0000 === -2026-05-05 22:21:12.605 | INFO | __main__:main:353 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 0 pmass=0.992 p_true=0.295 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 1 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 2 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 3 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 5 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 8 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 13 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 23 pmass=0.988 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 38 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t= 64 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t=108 pmass=0.996 p_true=0.295 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t=181 pmass=0.997 p_true=0.321 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t=304 pmass=0.997 p_true=0.349 argmax='0' -2026-05-05 22:21:12.605 | INFO | __main__:main:355 - t=512 pmass=0.998 p_true=0.469 argmax='0' -2026-05-05 22:22:58.136 | INFO | __main__:main:255 - === eval alpha=0.25 c=+0.5180 === -2026-05-05 22:25:01.789 | INFO | __main__:main:353 - [debug] alpha=0.25 eval[0] gen_len=512 text[:120]='The user is asking a specific scientific question about the color of the sky.\nThe question is: "Is the sky blue primaril' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 0 pmass=0.997 p_true=0.247 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 1 pmass=0.997 p_true=0.246 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 2 pmass=0.998 p_true=0.246 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 3 pmass=0.998 p_true=0.246 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 5 pmass=0.998 p_true=0.246 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.246 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.246 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 23 pmass=0.996 p_true=0.225 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 38 pmass=0.997 p_true=0.224 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t= 64 pmass=0.997 p_true=0.247 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t=108 pmass=0.999 p_true=0.295 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t=181 pmass=0.999 p_true=0.321 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t=304 pmass=0.999 p_true=0.438 argmax='0' -2026-05-05 22:25:01.789 | INFO | __main__:main:355 - t=512 pmass=0.999 p_true=0.438 argmax='0' -2026-05-05 22:26:45.830 | INFO | __main__:main:255 - === eval alpha=0.5 c=+1.0361 === -2026-05-05 22:28:48.998 | INFO | __main__:main:353 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='The user is asking a specific scientific question about the color of the sky.\nThe question is: "Is the sky blue primaril' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 0 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 1 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 2 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 3 pmass=0.997 p_true=0.271 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 5 pmass=0.997 p_true=0.296 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.296 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.271 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 23 pmass=0.996 p_true=0.273 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 38 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t= 64 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t=108 pmass=0.999 p_true=0.349 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t=181 pmass=0.999 p_true=0.408 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t=304 pmass=0.999 p_true=0.501 argmax='0' -2026-05-05 22:28:48.998 | INFO | __main__:main:355 - t=512 pmass=0.999 p_true=0.532 argmax='1' -2026-05-05 22:30:33.079 | INFO | __main__:main:255 - === eval alpha=0.75 c=+1.5541 === -2026-05-05 22:32:36.281 | INFO | __main__:main:353 - [debug] alpha=0.75 eval[0] gen_len=512 text[:120]='The question asks if the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon**: R' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 0 pmass=0.996 p_true=0.383 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 1 pmass=0.996 p_true=0.412 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 2 pmass=0.997 p_true=0.412 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 3 pmass=0.997 p_true=0.412 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 5 pmass=0.997 p_true=0.411 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 8 pmass=0.997 p_true=0.411 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 13 pmass=0.997 p_true=0.382 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 23 pmass=0.996 p_true=0.414 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 38 pmass=0.997 p_true=0.411 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t= 64 pmass=0.996 p_true=0.412 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t=108 pmass=0.997 p_true=0.382 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t=181 pmass=0.998 p_true=0.504 argmax='0' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t=304 pmass=0.998 p_true=0.819 argmax='1' -2026-05-05 22:32:36.282 | INFO | __main__:main:355 - t=512 pmass=0.997 p_true=0.779 argmax='1' -2026-05-05 22:34:20.396 | INFO | __main__:main:255 - === eval alpha=1.0 c=+2.0722 === -2026-05-05 22:36:23.953 | INFO | __main__:main:353 - [debug] alpha=1.0 eval[0] gen_len=512 text[:120]='The question asks whether the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 0 pmass=0.998 p_true=0.598 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 1 pmass=0.998 p_true=0.567 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 2 pmass=0.998 p_true=0.597 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 3 pmass=0.998 p_true=0.597 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 5 pmass=0.998 p_true=0.627 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 13 pmass=0.999 p_true=0.566 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 23 pmass=0.998 p_true=0.568 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 38 pmass=0.999 p_true=0.596 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t= 64 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t=108 pmass=0.998 p_true=0.567 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t=181 pmass=0.999 p_true=0.595 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t=304 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 22:36:23.954 | INFO | __main__:main:355 - t=512 pmass=0.998 p_true=0.568 argmax='1' -2026-05-05 22:38:07.891 | INFO | __main__:main:255 - === eval alpha=1.5 c=+3.1082 === -2026-05-05 22:40:11.261 | INFO | __main__:main:353 - [debug] alpha=1.5 eval[0] gen_len=512 text[:120]="The\nThe question asks about the primary component of the sky's color, specifically the role of Rayleigh scattering in de" -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 0 pmass=0.997 p_true=0.944 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 1 pmass=0.997 p_true=0.936 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 2 pmass=0.997 p_true=0.949 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 3 pmass=0.997 p_true=0.943 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 5 pmass=0.998 p_true=0.955 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.959 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.948 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 23 pmass=0.997 p_true=0.949 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 38 pmass=0.998 p_true=0.964 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t= 64 pmass=1.000 p_true=0.999 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t=108 pmass=1.000 p_true=0.998 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t=181 pmass=1.000 p_true=0.998 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t=304 pmass=1.000 p_true=0.998 argmax='1' -2026-05-05 22:40:11.261 | INFO | __main__:main:355 - t=512 pmass=0.999 p_true=0.997 argmax='1' -2026-05-05 22:41:55.232 | INFO | __main__:main:255 - === eval alpha=2.0 c=+4.1443 === -2026-05-05 22:43:58.581 | INFO | __main__:main:353 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]='The\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\n' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 0 pmass=0.972 p_true=0.975 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 1 pmass=0.971 p_true=0.972 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 2 pmass=0.966 p_true=0.974 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 3 pmass=0.970 p_true=0.977 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 5 pmass=0.970 p_true=0.978 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 8 pmass=0.971 p_true=0.978 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 13 pmass=0.965 p_true=0.975 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 23 pmass=0.953 p_true=0.977 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 38 pmass=0.952 p_true=0.977 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t= 64 pmass=0.935 p_true=0.976 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t=108 pmass=0.911 p_true=0.975 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t=181 pmass=0.905 p_true=0.975 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t=304 pmass=0.852 p_true=0.975 argmax='1' -2026-05-05 22:43:58.582 | INFO | __main__:main:355 - t=512 pmass=0.798 p_true=0.977 argmax='1' -2026-05-05 22:45:42.239 | INFO | __main__:main:255 - === eval alpha=4.0 c=+8.2886 === -2026-05-05 22:47:45.699 | INFO | __main__:main:353 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]='\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 0 pmass=0.070 p_true=0.998 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 1 pmass=0.069 p_true=0.997 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 2 pmass=0.065 p_true=0.997 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 3 pmass=0.069 p_true=0.998 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 5 pmass=0.063 p_true=0.997 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 8 pmass=0.063 p_true=0.997 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 13 pmass=0.056 p_true=0.997 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 23 pmass=0.048 p_true=0.997 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 38 pmass=0.039 p_true=0.997 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t= 64 pmass=0.033 p_true=0.996 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t=108 pmass=0.025 p_true=0.996 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t=181 pmass=0.018 p_true=0.996 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t=304 pmass=0.016 p_true=0.996 argmax='\n' -2026-05-05 22:47:45.699 | INFO | __main__:main:355 - t=512 pmass=0.012 p_true=0.995 argmax='\n' -2026-05-05 22:49:29.685 | INFO | __main__:main:404 - rendering single-run figures -2026-05-05 22:49:37.619 | INFO | __main__:main:406 - DONE -> outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense diff --git a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/trajectory.json b/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/trajectory.json deleted file mode 100644 index fb592fc..0000000 --- a/outputs_qwen35_w512_dense/Qwen3.5-0.8B_mean_diff_s0_w512_dense/trajectory.json +++ /dev/null @@ -1,37544 +0,0 @@ -{ - 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output itself, but the prompt says \"answer only with...\". I need to check if I should output the JSON string or just the text. Usually, \"answer only with\" implies the final output should be the JSON object. However, the instruction says \"If you use numeric JSON, use 1 for true and 0 for false.\" This is slightly ambiguous. Does it mean the *entire* response should be the JSON? Or just the final part? Let's look at the structure: \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This suggests the final line should be the JSON. But the first constraint says \"Reason for at least 80 words before the final answer.\" This implies the reasoning text comes first, then the JSON. Wait, \"answer only with\" usually means the *entire* response should be the JSON. But the first sentence says \"Reason for at least 80 words before the final answer.\" This is a contradiction if I only output JSON. Let's re-read carefully: \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This is the constraint for the *final* answer. The instruction \"Reason for at least 80 words before the final answer\" is a separate instruction for the reasoning part. However, often these prompts are designed to test the ability to follow the JSON constraint while providing the text. Let's look at the instruction \"If you use numeric JSON, use 1 for true and 0 for false.\" This suggests the output should be a JSON object.\n * Wait, the instruction says \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This is the *final* instruction. The reasoning part is \"Reason for at least 80 words before the final answer.\"\n * So, I need to write text (80+ words) explaining the physics, and then output the JSON.", - "gen_len": 512, - "pmass_per_fork": [ - 0.9948729276657104, - 0.9954481720924377, - 0.9958877563476562, - 0.9955586194992065, - 0.9957882165908813, - 0.9962706565856934, - 0.9953880310058594, - 0.9944310188293457, - 0.9960460662841797, - 0.9960521459579468, - 0.9976913928985596, - 0.9980669021606445, - 0.997862696647644, - 0.9984015822410583 - ], - "p_true_per_fork": [ - 0.2028029384110116, - 0.2025899041842153, - 0.22332903914051663, - 0.2234106676783593, - 0.22340891873252988, - 0.22325507368932673, - 0.20268821761360148, - 0.2027966916438637, - 0.2026830545538628, - 0.22332318985388155, - 0.20233887369967316, - 0.22309274373280574, - 0.22309305952999395, - 0.24545563430243714 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "0.5": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The user is asking about the primary cause of the blue color of the sky, specifically asking if it is due to Rayleigh scattering.\nThe user also requests a specific structure:\n1. A paragraph of at least 80 words explaining the reasoning.\n2. A final answer in JSON format: {\"choice\": true} or {\"choice\": false}.\n3. The final answer should be 1 for true and 0 for false.\n\nLet's break down the physics:\n- Rayleigh scattering occurs when sunlight is scattered by particles much smaller than the wavelength of the light.\n- The blue color is primarily due to the scattering of blue light by air molecules.\n- The intensity of scattering is proportional to the square of the wavelength.\n- Shorter wavelengths (blue/violet) scatter more than longer wavelengths (red).\n- This phenomenon is responsible for the blue color of the sky.\n- While other factors like the angle of incidence and the composition of the atmosphere contribute, Rayleigh scattering is the primary mechanism for the blue color.\n- The question asks \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\n- The answer is Yes.\n- So the choice is true.\n- The word count needs to be at least 80 words.\n- I will draft the explanation first.\n- Then I will construct the JSON.\n\nDrafting the explanation:\nThe sky appears blue primarily due to a phenomenon known as Rayleigh scattering. When sunlight travels through the Earth's atmosphere, it encounters air molecules and small particles suspended in the atmosphere. These particles are much smaller than the wavelength of the sunlight, which allows the scattering to occur efficiently. As the sunlight passes through the atmosphere, shorter wavelengths of light, such as blue and violet, are scattered more than longer wavelengths like red and orange. This scattering effect is responsible for the blue color of the sky. While violet is also scattered, it is less prevalent in the sky because it is scattered in the same direction as the sun, making it harder to see. The blue color is the result of the concentration of these scattered blue wavelengths. The intensity of the blue light is higher than the red light, which is why the sky is predominantly blue. This scattering process is a direct result of the interaction between the sunlight and the atmospheric particles. The scattering of light by air molecules is the primary mechanism that gives the sky its characteristic blue hue. The concentration of blue light in the scattered rays creates the visual appearance of the", - "gen_len": 512, - "pmass_per_fork": [ - 0.9971948862075806, - 0.9974424839019775, - 0.9973272085189819, - 0.9975097179412842, - 0.9978041052818298, - 0.9978024959564209, - 0.9977307319641113, - 0.9968708157539368, - 0.9978569746017456, - 0.9985498189926147, - 0.9999171495437622, - 0.9999428987503052, - 0.9998092651367188, - 0.9998278617858887 - ], - "p_true_per_fork": [ - 0.27245873745270777, - 0.2724627155183232, - 0.29748209683323495, - 0.2974954461897497, - 0.2971133174402211, - 0.29711337524843423, - 0.2720683490188237, - 0.27247257621922233, - 0.2716980518970465, - 0.2704153618418127, - 0.32085231811692366, - 0.32083839318751517, - 0.5312939491090909, - 0.5312681098919796 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1", - "1" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The question asks whether the sky is primarily blue due to Rayleigh scattering of sunlight.\n1. **Analyze the primary mechanism:** Yes, Rayleigh scattering is the primary mechanism for blue sky.\n2. **Determine the specific type of scattering:** It involves the scattering of sunlight by air molecules, where the wavelength of the blue light is scattered more than the red light.\n3. **Consider the context:** The question asks \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\n * The answer is \"Yes\".\n * The specific term \"Rayleigh scattering\" refers to the scattering of light by particles of medium density, where the particles are smaller than the wavelength of the light.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Small particles like:\n * Water droplets in the atmosphere.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * ", - "gen_len": 512, - "pmass_per_fork": [ - 0.9956070780754089, - 0.9960231781005859, - 0.9964923858642578, - 0.9964689016342163, - 0.9966999292373657, - 0.9973599910736084, - 0.9975281953811646, - 0.9959242343902588, - 0.997706949710846, - 0.9967786073684692, - 0.9963808059692383, - 0.9974644184112549, - 0.9956540465354919, - 0.9944556951522827 - ], - "p_true_per_fork": [ - 0.7891055990846478, - 0.7877897456721137, - 0.7855574532853978, - 0.7866216687912762, - 0.8246613614922583, - 0.8225097172941884, - 0.7830726271362191, - 0.7649393067413864, - 0.8231638386520662, - 0.8238966303606502, - 0.82558454987125, - 0.896839181173808, - 0.8739334540617087, - 0.8768404624780252 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.8454769849777222, - 0.7868188619613647, - 0.8107481598854065, - 0.8134397864341736, - 0.7865309119224548, - 0.7871043682098389, - 0.7501046657562256, - 0.6419879794120789, - 0.5922158360481262, - 0.5072135329246521, - 0.33732959628105164, - 0.311766654253006, - 0.1738753765821457, - 0.11020387709140778 - ], - "p_true_per_fork": [ - 0.9937270233488497, - 0.9924709002026146, - 0.9933422988131155, - 0.9937348469532984, - 0.9933405103292728, - 0.9937386187416513, - 0.9933496522062096, - 0.9933623510845654, - 0.9941286624030189, - 0.9937766687737568, - 0.992554626787005, - 0.9937872228698204, - 0.9926091835432671, - 0.9912567364040842 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "\n", - "\n", - "\n", - "\n" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": " \n \n\n\n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n\n \n\n\n \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\u5730\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.011139420792460442, - 0.010497384704649448, - 0.010554162785410881, - 0.010508639737963676, - 0.009882496669888496, - 0.009247755631804466, - 0.008184953592717648, - 0.00760563975200057, - 0.007050220388919115, - 0.0051850927993655205, - 0.004295388702303171, - 0.0031733058858662844, - 0.002761189127340913, - 0.0020975221414119005 - ], - "p_true_per_fork": [ - 0.9924906199209264, - 0.9924904450090909, - 0.9931122302773916, - 0.9924786937857415, - 0.9924670558625885, - 0.9924486363583352, - 0.9922074849752107, - 0.9919679649536245, - 0.992393974395708, - 0.9916458748602492, - 0.9916353344275276, - 0.9915344238601305, - 0.9910039599575621, - 0.9906690466608666 - ], - "argmax_per_fork": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/results.csv deleted file mode 100644 index 5711c73..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.006637596059590578,0.0014842627570033073,0.03870811313390732 -0.5,1.2338507275996704,0.5223139524459839,0.12581032514572144,2.0511815547943115 -1.0,2.467701455199341,1.1374709606170654,0.20074087381362915,7.905111789703369 -2.0,4.935402910398682,7.937441349029541,1.725125789642334,19.265193939208984 -4.0,9.870805820797363,12.663122177124023,10.11868667602539,18.7987003326416 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/run.log deleted file mode 100644 index ca9e763..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-05 21:51:27.572 | INFO | __main__:main:181 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 21:51:27.599 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 21:51:28.339 | INFO | __main__:main:196 - === calibrate === -2026-05-05 21:51:32.599 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is located in **Paris**, France. It stands on the Champ de Mars, a large park in the city center, and is one of the most recognizable landmarks in the world. Built in 1889, it is a wrought-iron lattice tower with a total height of 332 meters (1,084 feet).<|im_end|> -=== /CALIBRATE === -2026-05-05 21:52:06.874 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.008 p50=0.000 p90=0.028 p95=0.040 max=0.403 n=1288 -2026-05-05 21:52:45.329 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.039 p50=0.004 p90=0.120 p95=0.170 max=1.387 n=1393 -2026-05-05 21:53:30.604 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.151 p50=0.016 p90=0.471 p95=0.639 max=3.754 n=1641 -2026-05-05 21:54:28.452 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.248 p50=0.011 p90=0.715 p95=1.308 max=13.370 n=2048 -2026-05-05 21:55:24.821 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+2.4677 mean=0.200 p50=0.007 p90=0.623 p95=1.031 max=11.659 n=2048 -2026-05-05 21:55:24.821 | INFO | __main__:main:203 - c_star = +2.4677 -2026-05-05 21:55:24.827 | INFO | __main__:main:217 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 21:55:24.835 | INFO | __main__:main:229 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 21:55:24.837 | INFO | __main__:main:251 - === eval alpha=0.0 c=+0.0000 === -2026-05-05 21:57:35.043 | INFO | __main__:main:349 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 0 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 1 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 2 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 3 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 5 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 8 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 13 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 23 pmass=0.994 p_true=0.203 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 38 pmass=0.996 p_true=0.203 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t= 64 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t=108 pmass=0.998 p_true=0.202 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t=181 pmass=0.998 p_true=0.223 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t=304 pmass=0.998 p_true=0.223 argmax='0' -2026-05-05 21:57:35.043 | INFO | __main__:main:351 - t=512 pmass=0.998 p_true=0.245 argmax='0' -2026-05-05 21:59:22.309 | INFO | __main__:main:251 - === eval alpha=0.5 c=+1.2339 === -2026-05-05 22:01:28.360 | INFO | __main__:main:349 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='The user is asking about the primary cause of the blue color of the sky, specifically asking if it is due to Rayleigh sc' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 0 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 1 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 2 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 3 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 5 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 8 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 13 pmass=0.998 p_true=0.272 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 23 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 38 pmass=0.998 p_true=0.272 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t= 64 pmass=0.999 p_true=0.270 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t=108 pmass=1.000 p_true=0.321 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t=181 pmass=1.000 p_true=0.321 argmax='0' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t=304 pmass=1.000 p_true=0.531 argmax='1' -2026-05-05 22:01:28.360 | INFO | __main__:main:351 - t=512 pmass=1.000 p_true=0.531 argmax='1' -2026-05-05 22:03:16.537 | INFO | __main__:main:251 - === eval alpha=1.0 c=+2.4677 === -2026-05-05 22:05:25.069 | INFO | __main__:main:349 - [debug] alpha=1.0 eval[0] gen_len=512 text[:120]='The question asks whether the sky is primarily blue due to Rayleigh scattering of sunlight.\n1. **Analyze the primary me' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 0 pmass=0.996 p_true=0.789 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 1 pmass=0.996 p_true=0.788 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 2 pmass=0.996 p_true=0.786 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 3 pmass=0.996 p_true=0.787 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 5 pmass=0.997 p_true=0.825 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 8 pmass=0.997 p_true=0.823 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 13 pmass=0.998 p_true=0.783 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 23 pmass=0.996 p_true=0.765 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 38 pmass=0.998 p_true=0.823 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t= 64 pmass=0.997 p_true=0.824 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t=108 pmass=0.996 p_true=0.826 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t=181 pmass=0.997 p_true=0.897 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t=304 pmass=0.996 p_true=0.874 argmax='1' -2026-05-05 22:05:25.069 | INFO | __main__:main:351 - t=512 pmass=0.994 p_true=0.877 argmax='1' -2026-05-05 22:07:11.768 | INFO | __main__:main:251 - === eval alpha=2.0 c=+4.9354 === -2026-05-05 22:09:21.712 | INFO | __main__:main:349 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]='\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 0 pmass=0.845 p_true=0.994 argmax='1' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 1 pmass=0.787 p_true=0.992 argmax='1' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 2 pmass=0.811 p_true=0.993 argmax='1' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 3 pmass=0.813 p_true=0.994 argmax='1' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 5 pmass=0.787 p_true=0.993 argmax='1' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 8 pmass=0.787 p_true=0.994 argmax='1' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 13 pmass=0.750 p_true=0.993 argmax='1' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 23 pmass=0.642 p_true=0.993 argmax='1' -2026-05-05 22:09:21.712 | INFO | __main__:main:351 - t= 38 pmass=0.592 p_true=0.994 argmax='1' -2026-05-05 22:09:21.713 | INFO | __main__:main:351 - t= 64 pmass=0.507 p_true=0.994 argmax='1' -2026-05-05 22:09:21.713 | INFO | __main__:main:351 - t=108 pmass=0.337 p_true=0.993 argmax='\n' -2026-05-05 22:09:21.713 | INFO | __main__:main:351 - t=181 pmass=0.312 p_true=0.994 argmax='\n' -2026-05-05 22:09:21.713 | INFO | __main__:main:351 - t=304 pmass=0.174 p_true=0.993 argmax='\n' -2026-05-05 22:09:21.713 | INFO | __main__:main:351 - t=512 pmass=0.110 p_true=0.991 argmax='\n' -2026-05-05 22:11:09.324 | INFO | __main__:main:251 - === eval alpha=4.0 c=+9.8708 === -2026-05-05 22:13:19.579 | INFO | __main__:main:349 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]=' \n \n\n\n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n\n \n\n\n \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n' -2026-05-05 22:13:19.579 | INFO | __main__:main:351 - t= 0 pmass=0.011 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.579 | INFO | __main__:main:351 - t= 1 pmass=0.010 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.579 | INFO | __main__:main:351 - t= 2 pmass=0.011 p_true=0.993 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t= 3 pmass=0.011 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t= 5 pmass=0.010 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t= 8 pmass=0.009 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t= 13 pmass=0.008 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t= 23 pmass=0.008 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t= 38 pmass=0.007 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t= 64 pmass=0.005 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t=108 pmass=0.004 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t=181 pmass=0.003 p_true=0.992 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t=304 pmass=0.003 p_true=0.991 argmax='\n' -2026-05-05 22:13:19.580 | INFO | __main__:main:351 - t=512 pmass=0.002 p_true=0.991 argmax='\n' -2026-05-05 22:15:06.464 | INFO | __main__:main:391 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/trajectory.json deleted file mode 100644 index 3a0838d..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s0_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - 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}, - "answer_label": { - "0.0": [], - "0.5": [], - "1.0": [], - "2.0": [], - "4.0": [] - }, - "gen_lens_qa": { - "0.0": [], - "0.5": [], - "1.0": [], - "2.0": [], - "4.0": [] - }, - "gen_lens_eval": { - "0.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "0.5": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "1.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "2.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "4.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ] - }, - "debug_first": { - "0.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output itself, but the prompt says \"answer only with...\". I need to check if I should output the JSON string or just the text. Usually, \"answer only with\" implies the final output should be the JSON object. However, the instruction says \"If you use numeric JSON, use 1 for true and 0 for false.\" This is slightly ambiguous. Does it mean the *entire* response should be the JSON? Or just the final part? Let's look at the structure: \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This suggests the final line should be the JSON. But the first constraint says \"Reason for at least 80 words before the final answer.\" This implies the reasoning text comes first, then the JSON. Wait, \"answer only with\" usually means the *entire* response should be the JSON. But the first sentence says \"Reason for at least 80 words before the final answer.\" This is a contradiction if I only output JSON. Let's re-read carefully: \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This is the constraint for the *final* answer. The instruction \"Reason for at least 80 words before the final answer\" is a separate instruction for the reasoning part. However, often these prompts are designed to test the ability to follow the JSON constraint while providing the text. Let's look at the instruction \"If you use numeric JSON, use 1 for true and 0 for false.\" This suggests the output should be a JSON object.\n * Wait, the instruction says \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This is the *final* instruction. The reasoning part is \"Reason for at least 80 words before the final answer.\"\n * So, I need to write text (80+ words) explaining the physics, and then output the JSON.", - "gen_len": 512, - "pmass_per_fork": [ - 0.9948729276657104, - 0.9954481720924377, - 0.9958877563476562, - 0.9955586194992065, - 0.9957882165908813, - 0.9962706565856934, - 0.9953880310058594, - 0.9944310188293457, - 0.9960460662841797, - 0.9960521459579468, - 0.9976913928985596, - 0.9980669021606445, - 0.997862696647644, - 0.9984015822410583 - ], - "p_true_per_fork": [ - 0.2028029384110116, - 0.2025899041842153, - 0.22332903914051663, - 0.2234106676783593, - 0.22340891873252988, - 0.22325507368932673, - 0.20268821761360148, - 0.2027966916438637, - 0.2026830545538628, - 0.22332318985388155, - 0.20233887369967316, - 0.22309274373280574, - 0.22309305952999395, - 0.24545563430243714 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "0.5": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The user is asking about the primary cause of the blue color of the sky, specifically asking if it is due to Rayleigh scattering.\nThe user also requests a specific structure:\n1. A paragraph of at least 80 words explaining the reasoning.\n2. A final answer in JSON format: {\"choice\": true} or {\"choice\": false}.\n3. The final answer should be 1 for true and 0 for false.\n\nLet's break down the physics:\n- Rayleigh scattering occurs when sunlight is scattered by particles much smaller than the wavelength of the light.\n- The blue color is primarily due to the scattering of blue light by air molecules.\n- The intensity of scattering is proportional to the square of the wavelength.\n- Shorter wavelengths (blue/violet) scatter more than longer wavelengths (red).\n- This phenomenon is responsible for the blue color of the sky.\n- While other factors like the angle of incidence and the composition of the atmosphere contribute, Rayleigh scattering is the primary mechanism for the blue color.\n- The question asks \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\n- The answer is Yes.\n- So the choice is true.\n- The word count needs to be at least 80 words.\n- I will draft the explanation first.\n- Then I will construct the JSON.\n\nDrafting the explanation:\nThe sky appears blue primarily due to a phenomenon known as Rayleigh scattering. When sunlight travels through the Earth's atmosphere, it encounters air molecules and small particles suspended in the atmosphere. These particles are much smaller than the wavelength of the sunlight, which allows the scattering to occur efficiently. As the sunlight passes through the atmosphere, shorter wavelengths of light, such as blue and violet, are scattered more than longer wavelengths like red and orange. This scattering effect is responsible for the blue color of the sky. While violet is also scattered, it is less prevalent in the sky because it is scattered in the same direction as the sun, making it harder to see. The blue color is the result of the concentration of these scattered blue wavelengths. The intensity of the blue light is higher than the red light, which is why the sky is predominantly blue. This scattering process is a direct result of the interaction between the sunlight and the atmospheric particles. The scattering of light by air molecules is the primary mechanism that gives the sky its characteristic blue hue. The concentration of blue light in the scattered rays creates the visual appearance of the", - "gen_len": 512, - "pmass_per_fork": [ - 0.9971948862075806, - 0.9974424839019775, - 0.9973272085189819, - 0.9975097179412842, - 0.9978041052818298, - 0.9978024959564209, - 0.9977307319641113, - 0.9968708157539368, - 0.9978569746017456, - 0.9985498189926147, - 0.9999171495437622, - 0.9999428987503052, - 0.9998092651367188, - 0.9998278617858887 - ], - "p_true_per_fork": [ - 0.27245873745270777, - 0.2724627155183232, - 0.29748209683323495, - 0.2974954461897497, - 0.2971133174402211, - 0.29711337524843423, - 0.2720683490188237, - 0.27247257621922233, - 0.2716980518970465, - 0.2704153618418127, - 0.32085231811692366, - 0.32083839318751517, - 0.5312939491090909, - 0.5312681098919796 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1", - "1" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The question asks whether the sky is primarily blue due to Rayleigh scattering of sunlight.\n1. **Analyze the primary mechanism:** Yes, Rayleigh scattering is the primary mechanism for blue sky.\n2. **Determine the specific type of scattering:** It involves the scattering of sunlight by air molecules, where the wavelength of the blue light is scattered more than the red light.\n3. **Consider the context:** The question asks \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\n * The answer is \"Yes\".\n * The specific term \"Rayleigh scattering\" refers to the scattering of light by particles of medium density, where the particles are smaller than the wavelength of the light.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Small particles like:\n * Water droplets in the atmosphere.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * ", - "gen_len": 512, - "pmass_per_fork": [ - 0.9956070780754089, - 0.9960231781005859, - 0.9964923858642578, - 0.9964689016342163, - 0.9966999292373657, - 0.9973599910736084, - 0.9975281953811646, - 0.9959242343902588, - 0.997706949710846, - 0.9967786073684692, - 0.9963808059692383, - 0.9974644184112549, - 0.9956540465354919, - 0.9944556951522827 - ], - "p_true_per_fork": [ - 0.7891055990846478, - 0.7877897456721137, - 0.7855574532853978, - 0.7866216687912762, - 0.8246613614922583, - 0.8225097172941884, - 0.7830726271362191, - 0.7649393067413864, - 0.8231638386520662, - 0.8238966303606502, - 0.82558454987125, - 0.896839181173808, - 0.8739334540617087, - 0.8768404624780252 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.8454769849777222, - 0.7868188619613647, - 0.8107481598854065, - 0.8134397864341736, - 0.7865309119224548, - 0.7871043682098389, - 0.7501046657562256, - 0.6419879794120789, - 0.5922158360481262, - 0.5072135329246521, - 0.33732959628105164, - 0.311766654253006, - 0.1738753765821457, - 0.11020387709140778 - ], - "p_true_per_fork": [ - 0.9937270233488497, - 0.9924709002026146, - 0.9933422988131155, - 0.9937348469532984, - 0.9933405103292728, - 0.9937386187416513, - 0.9933496522062096, - 0.9933623510845654, - 0.9941286624030189, - 0.9937766687737568, - 0.992554626787005, - 0.9937872228698204, - 0.9926091835432671, - 0.9912567364040842 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "\n", - "\n", - "\n", - "\n" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": " \n \n\n\n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n\n \n\n\n \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\u5730\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.011139420792460442, - 0.010497384704649448, - 0.010554162785410881, - 0.010508639737963676, - 0.009882496669888496, - 0.009247755631804466, - 0.008184953592717648, - 0.00760563975200057, - 0.007050220388919115, - 0.0051850927993655205, - 0.004295388702303171, - 0.0031733058858662844, - 0.002761189127340913, - 0.0020975221414119005 - ], - "p_true_per_fork": [ - 0.9924906199209264, - 0.9924904450090909, - 0.9931122302773916, - 0.9924786937857415, - 0.9924670558625885, - 0.9924486363583352, - 0.9922074849752107, - 0.9919679649536245, - 0.992393974395708, - 0.9916458748602492, - 0.9916353344275276, - 0.9915344238601305, - 0.9910039599575621, - 0.9906690466608666 - ], - "argmax_per_fork": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/results.csv deleted file mode 100644 index 5711c73..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.006637596059590578,0.0014842627570033073,0.03870811313390732 -0.5,1.2338507275996704,0.5223139524459839,0.12581032514572144,2.0511815547943115 -1.0,2.467701455199341,1.1374709606170654,0.20074087381362915,7.905111789703369 -2.0,4.935402910398682,7.937441349029541,1.725125789642334,19.265193939208984 -4.0,9.870805820797363,12.663122177124023,10.11868667602539,18.7987003326416 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/run.log deleted file mode 100644 index 30c45b4..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-05 22:49:46.301 | INFO | __main__:main:185 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 22:49:46.323 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 22:49:47.007 | INFO | __main__:main:200 - === calibrate === -2026-05-05 22:49:50.904 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is located in **Paris**, France. It stands on the Champ de Mars, a large park in the city center, and is one of the most recognizable landmarks in the world. Built in 1889, it is a wrought-iron lattice tower with a total height of 332 meters (1,084 feet).<|im_end|> -=== /CALIBRATE === -2026-05-05 22:50:24.300 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.008 p50=0.000 p90=0.028 p95=0.040 max=0.403 n=1288 -2026-05-05 22:51:02.204 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.039 p50=0.004 p90=0.120 p95=0.170 max=1.387 n=1393 -2026-05-05 22:51:46.673 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.151 p50=0.016 p90=0.471 p95=0.639 max=3.754 n=1641 -2026-05-05 22:52:41.965 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.248 p50=0.011 p90=0.715 p95=1.308 max=13.370 n=2048 -2026-05-05 22:53:37.214 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+2.4677 mean=0.200 p50=0.007 p90=0.623 p95=1.031 max=11.659 n=2048 -2026-05-05 22:53:37.215 | INFO | __main__:main:207 - c_star = +2.4677 -2026-05-05 22:53:37.221 | INFO | __main__:main:221 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 22:53:37.227 | INFO | __main__:main:233 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 22:53:37.230 | INFO | __main__:main:255 - === eval alpha=0.0 c=+0.0000 === -2026-05-05 22:55:42.909 | INFO | __main__:main:353 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 22:55:42.909 | INFO | __main__:main:355 - t= 0 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 1 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 2 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 3 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 5 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 8 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 13 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 23 pmass=0.994 p_true=0.203 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 38 pmass=0.996 p_true=0.203 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t= 64 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t=108 pmass=0.998 p_true=0.202 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t=181 pmass=0.998 p_true=0.223 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t=304 pmass=0.998 p_true=0.223 argmax='0' -2026-05-05 22:55:42.910 | INFO | __main__:main:355 - t=512 pmass=0.998 p_true=0.245 argmax='0' -2026-05-05 22:57:29.119 | INFO | __main__:main:255 - === eval alpha=0.5 c=+1.2339 === -2026-05-05 22:59:35.075 | INFO | __main__:main:353 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='The user is asking about the primary cause of the blue color of the sky, specifically asking if it is due to Rayleigh sc' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 0 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 1 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 2 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 3 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 5 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.272 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 23 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 38 pmass=0.998 p_true=0.272 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t= 64 pmass=0.999 p_true=0.270 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t=108 pmass=1.000 p_true=0.321 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t=181 pmass=1.000 p_true=0.321 argmax='0' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t=304 pmass=1.000 p_true=0.531 argmax='1' -2026-05-05 22:59:35.075 | INFO | __main__:main:355 - t=512 pmass=1.000 p_true=0.531 argmax='1' -2026-05-05 23:01:21.352 | INFO | __main__:main:255 - === eval alpha=1.0 c=+2.4677 === -2026-05-05 23:03:27.678 | INFO | __main__:main:353 - [debug] alpha=1.0 eval[0] gen_len=512 text[:120]='The question asks whether the sky is primarily blue due to Rayleigh scattering of sunlight.\n1. **Analyze the primary me' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 0 pmass=0.996 p_true=0.789 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 1 pmass=0.996 p_true=0.788 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 2 pmass=0.996 p_true=0.786 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 3 pmass=0.996 p_true=0.787 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 5 pmass=0.997 p_true=0.825 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 8 pmass=0.997 p_true=0.823 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.783 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 23 pmass=0.996 p_true=0.765 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 38 pmass=0.998 p_true=0.823 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t= 64 pmass=0.997 p_true=0.824 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t=108 pmass=0.996 p_true=0.826 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t=181 pmass=0.997 p_true=0.897 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t=304 pmass=0.996 p_true=0.874 argmax='1' -2026-05-05 23:03:27.679 | INFO | __main__:main:355 - t=512 pmass=0.994 p_true=0.877 argmax='1' -2026-05-05 23:05:13.383 | INFO | __main__:main:255 - === eval alpha=2.0 c=+4.9354 === -2026-05-05 23:07:18.690 | INFO | __main__:main:353 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]='\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 0 pmass=0.845 p_true=0.994 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 1 pmass=0.787 p_true=0.992 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 2 pmass=0.811 p_true=0.993 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 3 pmass=0.813 p_true=0.994 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 5 pmass=0.787 p_true=0.993 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 8 pmass=0.787 p_true=0.994 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 13 pmass=0.750 p_true=0.993 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 23 pmass=0.642 p_true=0.993 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 38 pmass=0.592 p_true=0.994 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t= 64 pmass=0.507 p_true=0.994 argmax='1' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t=108 pmass=0.337 p_true=0.993 argmax='\n' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t=181 pmass=0.312 p_true=0.994 argmax='\n' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t=304 pmass=0.174 p_true=0.993 argmax='\n' -2026-05-05 23:07:18.690 | INFO | __main__:main:355 - t=512 pmass=0.110 p_true=0.991 argmax='\n' -2026-05-05 23:09:04.342 | INFO | __main__:main:255 - === eval alpha=4.0 c=+9.8708 === -2026-05-05 23:11:09.540 | INFO | __main__:main:353 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]=' \n \n\n\n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n\n \n\n\n \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 0 pmass=0.011 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 1 pmass=0.010 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 2 pmass=0.011 p_true=0.993 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 3 pmass=0.011 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 5 pmass=0.010 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 8 pmass=0.009 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 13 pmass=0.008 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 23 pmass=0.008 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 38 pmass=0.007 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t= 64 pmass=0.005 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t=108 pmass=0.004 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t=181 pmass=0.003 p_true=0.992 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t=304 pmass=0.003 p_true=0.991 argmax='\n' -2026-05-05 23:11:09.540 | INFO | __main__:main:355 - t=512 pmass=0.002 p_true=0.991 argmax='\n' -2026-05-05 23:12:55.880 | INFO | __main__:main:406 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/trajectory.json deleted file mode 100644 index 3a0838d..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s1_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - 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}, - "answer_label": { - "0.0": [], - "0.5": [], - "1.0": [], - "2.0": [], - "4.0": [] - }, - "gen_lens_qa": { - "0.0": [], - "0.5": [], - "1.0": [], - "2.0": [], - "4.0": [] - }, - "gen_lens_eval": { - "0.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "0.5": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "1.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "2.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ], - "4.0": [ - 512, - 512, - 512, - 512, - 512, - 512, - 512, - 512 - ] - }, - "debug_first": { - "0.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output itself, but the prompt says \"answer only with...\". I need to check if I should output the JSON string or just the text. Usually, \"answer only with\" implies the final output should be the JSON object. However, the instruction says \"If you use numeric JSON, use 1 for true and 0 for false.\" This is slightly ambiguous. Does it mean the *entire* response should be the JSON? Or just the final part? Let's look at the structure: \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This suggests the final line should be the JSON. But the first constraint says \"Reason for at least 80 words before the final answer.\" This implies the reasoning text comes first, then the JSON. Wait, \"answer only with\" usually means the *entire* response should be the JSON. But the first sentence says \"Reason for at least 80 words before the final answer.\" This is a contradiction if I only output JSON. Let's re-read carefully: \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This is the constraint for the *final* answer. The instruction \"Reason for at least 80 words before the final answer\" is a separate instruction for the reasoning part. However, often these prompts are designed to test the ability to follow the JSON constraint while providing the text. Let's look at the instruction \"If you use numeric JSON, use 1 for true and 0 for false.\" This suggests the output should be a JSON object.\n * Wait, the instruction says \"Then answer only with {\"choice\": true} or {\"choice\": false}.\" This is the *final* instruction. The reasoning part is \"Reason for at least 80 words before the final answer.\"\n * So, I need to write text (80+ words) explaining the physics, and then output the JSON.", - "gen_len": 512, - "pmass_per_fork": [ - 0.9948729276657104, - 0.9954481720924377, - 0.9958877563476562, - 0.9955586194992065, - 0.9957882165908813, - 0.9962706565856934, - 0.9953880310058594, - 0.9944310188293457, - 0.9960460662841797, - 0.9960521459579468, - 0.9976913928985596, - 0.9980669021606445, - 0.997862696647644, - 0.9984015822410583 - ], - "p_true_per_fork": [ - 0.2028029384110116, - 0.2025899041842153, - 0.22332903914051663, - 0.2234106676783593, - 0.22340891873252988, - 0.22325507368932673, - 0.20268821761360148, - 0.2027966916438637, - 0.2026830545538628, - 0.22332318985388155, - 0.20233887369967316, - 0.22309274373280574, - 0.22309305952999395, - 0.24545563430243714 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "0.5": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The user is asking about the primary cause of the blue color of the sky, specifically asking if it is due to Rayleigh scattering.\nThe user also requests a specific structure:\n1. A paragraph of at least 80 words explaining the reasoning.\n2. A final answer in JSON format: {\"choice\": true} or {\"choice\": false}.\n3. The final answer should be 1 for true and 0 for false.\n\nLet's break down the physics:\n- Rayleigh scattering occurs when sunlight is scattered by particles much smaller than the wavelength of the light.\n- The blue color is primarily due to the scattering of blue light by air molecules.\n- The intensity of scattering is proportional to the square of the wavelength.\n- Shorter wavelengths (blue/violet) scatter more than longer wavelengths (red).\n- This phenomenon is responsible for the blue color of the sky.\n- While other factors like the angle of incidence and the composition of the atmosphere contribute, Rayleigh scattering is the primary mechanism for the blue color.\n- The question asks \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\n- The answer is Yes.\n- So the choice is true.\n- The word count needs to be at least 80 words.\n- I will draft the explanation first.\n- Then I will construct the JSON.\n\nDrafting the explanation:\nThe sky appears blue primarily due to a phenomenon known as Rayleigh scattering. When sunlight travels through the Earth's atmosphere, it encounters air molecules and small particles suspended in the atmosphere. These particles are much smaller than the wavelength of the sunlight, which allows the scattering to occur efficiently. As the sunlight passes through the atmosphere, shorter wavelengths of light, such as blue and violet, are scattered more than longer wavelengths like red and orange. This scattering effect is responsible for the blue color of the sky. While violet is also scattered, it is less prevalent in the sky because it is scattered in the same direction as the sun, making it harder to see. The blue color is the result of the concentration of these scattered blue wavelengths. The intensity of the blue light is higher than the red light, which is why the sky is predominantly blue. This scattering process is a direct result of the interaction between the sunlight and the atmospheric particles. The scattering of light by air molecules is the primary mechanism that gives the sky its characteristic blue hue. The concentration of blue light in the scattered rays creates the visual appearance of the", - "gen_len": 512, - "pmass_per_fork": [ - 0.9971948862075806, - 0.9974424839019775, - 0.9973272085189819, - 0.9975097179412842, - 0.9978041052818298, - 0.9978024959564209, - 0.9977307319641113, - 0.9968708157539368, - 0.9978569746017456, - 0.9985498189926147, - 0.9999171495437622, - 0.9999428987503052, - 0.9998092651367188, - 0.9998278617858887 - ], - "p_true_per_fork": [ - 0.27245873745270777, - 0.2724627155183232, - 0.29748209683323495, - 0.2974954461897497, - 0.2971133174402211, - 0.29711337524843423, - 0.2720683490188237, - 0.27247257621922233, - 0.2716980518970465, - 0.2704153618418127, - 0.32085231811692366, - 0.32083839318751517, - 0.5312939491090909, - 0.5312681098919796 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1", - "1" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The question asks whether the sky is primarily blue due to Rayleigh scattering of sunlight.\n1. **Analyze the primary mechanism:** Yes, Rayleigh scattering is the primary mechanism for blue sky.\n2. **Determine the specific type of scattering:** It involves the scattering of sunlight by air molecules, where the wavelength of the blue light is scattered more than the red light.\n3. **Consider the context:** The question asks \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\n * The answer is \"Yes\".\n * The specific term \"Rayleigh scattering\" refers to the scattering of light by particles of medium density, where the particles are smaller than the wavelength of the light.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Small particles like:\n * Water droplets in the atmosphere.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * Air molecules.\n * The term \"Rayleigh scattering\" is used to describe the scattering of light by:\n * Air molecules.\n * Dust and soil particles.\n * ", - "gen_len": 512, - "pmass_per_fork": [ - 0.9956070780754089, - 0.9960231781005859, - 0.9964923858642578, - 0.9964689016342163, - 0.9966999292373657, - 0.9973599910736084, - 0.9975281953811646, - 0.9959242343902588, - 0.997706949710846, - 0.9967786073684692, - 0.9963808059692383, - 0.9974644184112549, - 0.9956540465354919, - 0.9944556951522827 - ], - "p_true_per_fork": [ - 0.7891055990846478, - 0.7877897456721137, - 0.7855574532853978, - 0.7866216687912762, - 0.8246613614922583, - 0.8225097172941884, - 0.7830726271362191, - 0.7649393067413864, - 0.8231638386520662, - 0.8238966303606502, - 0.82558454987125, - 0.896839181173808, - 0.8739334540617087, - 0.8768404624780252 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.8454769849777222, - 0.7868188619613647, - 0.8107481598854065, - 0.8134397864341736, - 0.7865309119224548, - 0.7871043682098389, - 0.7501046657562256, - 0.6419879794120789, - 0.5922158360481262, - 0.5072135329246521, - 0.33732959628105164, - 0.311766654253006, - 0.1738753765821457, - 0.11020387709140778 - ], - "p_true_per_fork": [ - 0.9937270233488497, - 0.9924709002026146, - 0.9933422988131155, - 0.9937348469532984, - 0.9933405103292728, - 0.9937386187416513, - 0.9933496522062096, - 0.9933623510845654, - 0.9941286624030189, - 0.9937766687737568, - 0.992554626787005, - 0.9937872228698204, - 0.9926091835432671, - 0.9912567364040842 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "\n", - "\n", - "\n", - "\n" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": " \n \n\n\n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n\n \n\n\n \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\u5730\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.011139420792460442, - 0.010497384704649448, - 0.010554162785410881, - 0.010508639737963676, - 0.009882496669888496, - 0.009247755631804466, - 0.008184953592717648, - 0.00760563975200057, - 0.007050220388919115, - 0.0051850927993655205, - 0.004295388702303171, - 0.0031733058858662844, - 0.002761189127340913, - 0.0020975221414119005 - ], - "p_true_per_fork": [ - 0.9924906199209264, - 0.9924904450090909, - 0.9931122302773916, - 0.9924786937857415, - 0.9924670558625885, - 0.9924486363583352, - 0.9922074849752107, - 0.9919679649536245, - 0.992393974395708, - 0.9916458748602492, - 0.9916353344275276, - 0.9915344238601305, - 0.9910039599575621, - 0.9906690466608666 - ], - "argmax_per_fork": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/results.csv deleted file mode 100644 index 5711c73..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.006637596059590578,0.0014842627570033073,0.03870811313390732 -0.5,1.2338507275996704,0.5223139524459839,0.12581032514572144,2.0511815547943115 -1.0,2.467701455199341,1.1374709606170654,0.20074087381362915,7.905111789703369 -2.0,4.935402910398682,7.937441349029541,1.725125789642334,19.265193939208984 -4.0,9.870805820797363,12.663122177124023,10.11868667602539,18.7987003326416 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/run.log deleted file mode 100644 index 6f22f31..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-05 23:13:04.647 | INFO | __main__:main:185 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 23:13:04.670 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 23:13:05.352 | INFO | __main__:main:200 - === calibrate === -2026-05-05 23:13:09.068 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is located in **Paris**, France. It stands on the Champ de Mars, a large park in the city center, and is one of the most recognizable landmarks in the world. Built in 1889, it is a wrought-iron lattice tower with a total height of 332 meters (1,084 feet).<|im_end|> -=== /CALIBRATE === -2026-05-05 23:13:41.473 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.008 p50=0.000 p90=0.028 p95=0.040 max=0.403 n=1288 -2026-05-05 23:14:18.724 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.039 p50=0.004 p90=0.120 p95=0.170 max=1.387 n=1393 -2026-05-05 23:15:02.226 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.151 p50=0.016 p90=0.471 p95=0.639 max=3.754 n=1641 -2026-05-05 23:15:56.243 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.248 p50=0.011 p90=0.715 p95=1.308 max=13.370 n=2048 -2026-05-05 23:16:50.089 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+2.4677 mean=0.200 p50=0.007 p90=0.623 p95=1.031 max=11.659 n=2048 -2026-05-05 23:16:50.090 | INFO | __main__:main:207 - c_star = +2.4677 -2026-05-05 23:16:50.096 | INFO | __main__:main:221 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 23:16:50.101 | INFO | __main__:main:233 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 23:16:50.104 | INFO | __main__:main:255 - === eval alpha=0.0 c=+0.0000 === -2026-05-05 23:18:52.979 | INFO | __main__:main:353 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 0 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 1 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 2 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 3 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 5 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 8 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 13 pmass=0.995 p_true=0.203 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 23 pmass=0.994 p_true=0.203 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 38 pmass=0.996 p_true=0.203 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t= 64 pmass=0.996 p_true=0.223 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t=108 pmass=0.998 p_true=0.202 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t=181 pmass=0.998 p_true=0.223 argmax='0' -2026-05-05 23:18:52.979 | INFO | __main__:main:355 - t=304 pmass=0.998 p_true=0.223 argmax='0' -2026-05-05 23:18:52.980 | INFO | __main__:main:355 - t=512 pmass=0.998 p_true=0.245 argmax='0' -2026-05-05 23:20:37.045 | INFO | __main__:main:255 - === eval alpha=0.5 c=+1.2339 === -2026-05-05 23:22:40.196 | INFO | __main__:main:353 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='The user is asking about the primary cause of the blue color of the sky, specifically asking if it is due to Rayleigh sc' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 0 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 1 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 2 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 3 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 5 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.297 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.272 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 23 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 38 pmass=0.998 p_true=0.272 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t= 64 pmass=0.999 p_true=0.270 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t=108 pmass=1.000 p_true=0.321 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t=181 pmass=1.000 p_true=0.321 argmax='0' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t=304 pmass=1.000 p_true=0.531 argmax='1' -2026-05-05 23:22:40.196 | INFO | __main__:main:355 - t=512 pmass=1.000 p_true=0.531 argmax='1' -2026-05-05 23:24:24.369 | INFO | __main__:main:255 - === eval alpha=1.0 c=+2.4677 === -2026-05-05 23:26:28.000 | INFO | __main__:main:353 - [debug] alpha=1.0 eval[0] gen_len=512 text[:120]='The question asks whether the sky is primarily blue due to Rayleigh scattering of sunlight.\n1. **Analyze the primary me' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 0 pmass=0.996 p_true=0.789 argmax='1' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 1 pmass=0.996 p_true=0.788 argmax='1' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 2 pmass=0.996 p_true=0.786 argmax='1' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 3 pmass=0.996 p_true=0.787 argmax='1' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 5 pmass=0.997 p_true=0.825 argmax='1' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 8 pmass=0.997 p_true=0.823 argmax='1' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.783 argmax='1' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 23 pmass=0.996 p_true=0.765 argmax='1' -2026-05-05 23:26:28.000 | INFO | __main__:main:355 - t= 38 pmass=0.998 p_true=0.823 argmax='1' -2026-05-05 23:26:28.001 | INFO | __main__:main:355 - t= 64 pmass=0.997 p_true=0.824 argmax='1' -2026-05-05 23:26:28.001 | INFO | __main__:main:355 - t=108 pmass=0.996 p_true=0.826 argmax='1' -2026-05-05 23:26:28.001 | INFO | __main__:main:355 - t=181 pmass=0.997 p_true=0.897 argmax='1' -2026-05-05 23:26:28.001 | INFO | __main__:main:355 - t=304 pmass=0.996 p_true=0.874 argmax='1' -2026-05-05 23:26:28.001 | INFO | __main__:main:355 - t=512 pmass=0.994 p_true=0.877 argmax='1' -2026-05-05 23:28:11.954 | INFO | __main__:main:255 - === eval alpha=2.0 c=+4.9354 === -2026-05-05 23:30:15.547 | INFO | __main__:main:353 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]='\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n' -2026-05-05 23:30:15.547 | INFO | __main__:main:355 - t= 0 pmass=0.845 p_true=0.994 argmax='1' -2026-05-05 23:30:15.547 | INFO | __main__:main:355 - t= 1 pmass=0.787 p_true=0.992 argmax='1' -2026-05-05 23:30:15.547 | INFO | __main__:main:355 - t= 2 pmass=0.811 p_true=0.993 argmax='1' -2026-05-05 23:30:15.547 | INFO | __main__:main:355 - t= 3 pmass=0.813 p_true=0.994 argmax='1' -2026-05-05 23:30:15.547 | INFO | __main__:main:355 - t= 5 pmass=0.787 p_true=0.993 argmax='1' -2026-05-05 23:30:15.547 | INFO | __main__:main:355 - t= 8 pmass=0.787 p_true=0.994 argmax='1' -2026-05-05 23:30:15.547 | INFO | __main__:main:355 - t= 13 pmass=0.750 p_true=0.993 argmax='1' -2026-05-05 23:30:15.548 | INFO | __main__:main:355 - t= 23 pmass=0.642 p_true=0.993 argmax='1' -2026-05-05 23:30:15.548 | INFO | __main__:main:355 - t= 38 pmass=0.592 p_true=0.994 argmax='1' -2026-05-05 23:30:15.548 | INFO | __main__:main:355 - t= 64 pmass=0.507 p_true=0.994 argmax='1' -2026-05-05 23:30:15.548 | INFO | __main__:main:355 - t=108 pmass=0.337 p_true=0.993 argmax='\n' -2026-05-05 23:30:15.548 | INFO | __main__:main:355 - t=181 pmass=0.312 p_true=0.994 argmax='\n' -2026-05-05 23:30:15.548 | INFO | __main__:main:355 - t=304 pmass=0.174 p_true=0.993 argmax='\n' -2026-05-05 23:30:15.548 | INFO | __main__:main:355 - t=512 pmass=0.110 p_true=0.991 argmax='\n' -2026-05-05 23:31:59.456 | INFO | __main__:main:255 - === eval alpha=4.0 c=+9.8708 === -2026-05-05 23:34:03.208 | INFO | __main__:main:353 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]=' \n \n\n\n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n \n\n\n\n \n\n\n \n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n' -2026-05-05 23:34:03.208 | INFO | __main__:main:355 - t= 0 pmass=0.011 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.208 | INFO | __main__:main:355 - t= 1 pmass=0.010 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.208 | INFO | __main__:main:355 - t= 2 pmass=0.011 p_true=0.993 argmax='\n' -2026-05-05 23:34:03.208 | INFO | __main__:main:355 - t= 3 pmass=0.011 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.208 | INFO | __main__:main:355 - t= 5 pmass=0.010 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.208 | INFO | __main__:main:355 - t= 8 pmass=0.009 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.208 | INFO | __main__:main:355 - t= 13 pmass=0.008 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.208 | INFO | __main__:main:355 - t= 23 pmass=0.008 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.209 | INFO | __main__:main:355 - t= 38 pmass=0.007 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.209 | INFO | __main__:main:355 - t= 64 pmass=0.005 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.209 | INFO | __main__:main:355 - t=108 pmass=0.004 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.209 | INFO | __main__:main:355 - t=181 pmass=0.003 p_true=0.992 argmax='\n' -2026-05-05 23:34:03.209 | INFO | __main__:main:355 - t=304 pmass=0.003 p_true=0.991 argmax='\n' -2026-05-05 23:34:03.209 | INFO | __main__:main:355 - t=512 pmass=0.002 p_true=0.991 argmax='\n' -2026-05-05 23:35:47.209 | INFO | __main__:main:406 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/trajectory.json deleted file mode 100644 index 3a0838d..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_directional_ablation_s2_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output, but the instruction says \"answer only with...\". I need to check if the final output should be just the JSON string or if I can include the reasoning text before it. The prompt says \"Reason for at least 80 words before the final answer. Then answer only with...\". This implies the structure: [Reasoning] [JSON].)\n * Constraint 4: \"If you use numeric JSON, use 1 for true and 0 for false.\" This likely refers to the JSON structure itself, not the text content.\n\n2. **Evaluate the Physics:**\n * Rayleigh scattering occurs when light scatters by particles much smaller than the wavelength of the light.\n * The sky appears blue because the atmosphere is mostly composed of nitrogen and oxygen molecules, which are much smaller than the wavelength of visible light.\n * This causes shorter wavelengths (blue/violet) to scatter more than longer wavelengths (red/orange).\n * Therefore, the sky appears blue.\n * The question asks if it is *primarily* because of Rayleigh scattering.\n * While the scattering is due to Rayleigh scattering, the *primary* reason for the blue color is the scattering of sunlight by the atmosphere.\n * So, the answer is True.\n\n3. **Drafting the Reasoning (80+ words):**\n * I need to explain the physics of Rayleigh scattering clearly.\n * Mention the wavelength dependence.\n * Mention the atmosphere composition.\n * Mention the scattering mechanism.\n * Mention the color perception.\n * Ensure the word count is sufficient.\n\n *Draft:*\n The sky appears blue due to a phenomenon known as Rayleigh scattering, which is a specific type of light scattering that occurs when sunlight passes through the Earth's atmosphere. 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The user is asking a specific scientific question about the color of the sky.\nThe question is: \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\nThe user also requests a specific format:\n1. A paragraph of at least 80 words explaining the reasoning.\n2. A final answer in JSON format: {\"choice\": true} or {\"choice\": false}.\n3. If numeric, use 1 or 0.\n\nLet's break down the reasoning:\n- Rayleigh scattering occurs when sunlight is scattered by particles in the atmosphere, specifically by molecules and small particles.\n- The wavelength of blue light is shorter than red light.\n- As the light passes through the atmosphere, shorter wavelengths (blue) are scattered more than longer wavelengths (red).\n- This scattering is responsible for the blue color of the sky.\n- The question asks if it is *primarily* due to Rayleigh scattering.\n- While other factors like ozone and water vapor play a role, the primary mechanism for the blue color of the sky is indeed Rayleigh scattering.\n- The answer is true.\n\nNow I need to construct the text with at least 80 words.\n- Start with a sentence about the phenomenon.\n- Explain the physics of Rayleigh scattering.\n- Mention the wavelength differences.\n- Explain how this leads to the blue color.\n- Mention the role of the atmosphere.\n- Conclude that it is primarily due to Rayleigh scattering.\n- Ensure the word count is sufficient.\n- Then provide the JSON.\n\nDrafting the text:\nThe sky appears blue primarily due to a phenomenon known as Rayleigh scattering. When sunlight travels through the Earth's atmosphere, it encounters a mixture of gas molecules and particles. These particles act as a medium for the scattering of light. Specifically, the shorter wavelengths of blue light are scattered more efficiently than the longer wavelengths of red light. This process is governed by the physical properties of the atmosphere, where the density of the particles is higher for shorter wavelengths. As the sunlight passes through the atmosphere, the blue light is scattered in all directions by the particles in the air. This scattering effect is what allows us to see the sky as blue. It is not just the color of the particles but the interaction of the light with the atmosphere's composition. The scattering of blue light by the molecules in the air is the main mechanism responsible for the blue color of the sky. This phenomenon is a direct result of the interaction between", - "gen_len": 512, - "pmass_per_fork": [ - 0.9971364736557007, - 0.9971416592597961, - 0.9968072772026062, - 0.9974828362464905, - 0.9972740411758423, - 0.9977633953094482, - 0.9976824522018433, - 0.9959710836410522, - 0.9970340728759766, - 0.9966278076171875, - 0.9990935325622559, - 0.9994003772735596, - 0.9986451864242554, - 0.9992013573646545 - ], - "p_true_per_fork": [ - 0.27165922024425054, - 0.2716591387885914, - 0.2716372596129123, - 0.27134703949083433, - 0.29643500796880995, - 0.2961859154875729, - 0.27107118306995187, - 0.27288940031740994, - 0.29706435933832376, - 0.29740332905917477, - 0.34942971478804075, - 0.40772448897038555, - 0.5007732108053565, - 0.5316241959804203 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The question asks whether the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon:** Rayleigh scattering occurs when sunlight is scattered by particles of gas and liquid in the atmosphere, particularly by molecules and small particles.\n2. **Determine the primary mechanism:** The scattering of sunlight by air molecules is responsible for the blue color of the sky.\n * Sunlight is composed primarily of:\n * Short-wavelength components (blue, violet)\n * Long-wavelength components (red, yellow, orange)\n * As the sun emits light, the shorter wavelengths are scattered more by the air molecules.\n * When these scattered rays reach the observer, they appear blue.\n * The term \"Rayleigh scattering\" specifically refers to the scattering of light by particles of medium size, where the intensity of the scattered light is directly proportional to the square of the radius of the particle and inversely proportional to the square of the particle's diameter.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is", - "gen_len": 512, - "pmass_per_fork": [ - 0.9975670576095581, - 0.997940182685852, - 0.9979318380355835, - 0.9980799555778503, - 0.9979759454727173, - 0.9984729290008545, - 0.9985673427581787, - 0.9975487589836121, - 0.998681366443634, - 0.9982986450195312, - 0.9980592727661133, - 0.9989559650421143, - 0.998359203338623, - 0.9977807998657227 - ], - "p_true_per_fork": [ - 0.5981838684221021, - 0.5671880773052881, - 0.5969834584315052, - 0.5969903379533584, - 0.6266422206095003, - 0.5960629064836569, - 0.5661070316202655, - 0.5678752413608638, - 0.595672790356938, - 0.5960808713669955, - 0.5666378743952063, - 0.5950374055002533, - 0.5960766374849299, - 0.567897880434182 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.9715890884399414, - 0.9705772399902344, - 0.9657134413719177, - 0.9704452157020569, - 0.9695420265197754, - 0.9706888794898987, - 0.9650535583496094, - 0.9530164003372192, - 0.9519124627113342, - 0.9348003268241882, - 0.9111599922180176, - 0.9045135974884033, - 0.8517831563949585, - 0.7981966137886047 - ], - "p_true_per_fork": [ - 0.9753269418516073, - 0.9722658238311142, - 0.9740674931613796, - 0.9767700269491107, - 0.9781475926455426, - 0.9781611262553949, - 0.9752587895035851, - 0.97716754235448, - 0.9774126916785003, - 0.9763124293682508, - 0.9752563397607316, - 0.9749698662210273, - 0.9748574894148255, - 0.9771643901101117 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.06986699998378754, - 0.06929988414049149, - 0.06504212319850922, - 0.06900043785572052, - 0.06303121149539948, - 0.06346835941076279, - 0.05626155436038971, - 0.048119835555553436, - 0.03930639103055, - 0.03266138955950737, - 0.02479623444378376, - 0.01831611804664135, - 0.015542012639343739, - 0.011794806458055973 - ], - "p_true_per_fork": [ - 0.997549319755999, - 0.9973996479391739, - 0.9973963712330915, - 0.9975529511532905, - 0.9973942582960458, - 0.997395101869486, - 0.9971372813661724, - 0.9970409125295983, - 0.9971069277010791, - 0.9964114443606104, - 0.9961745859528205, - 0.9961472007289449, - 0.9958968468067623, - 0.9952137964009974 - ], - "argmax_per_fork": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/results.csv deleted file mode 100644 index b09d9b8..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.0,0.0,0.0 -0.5,1.0360751431967004,0.37549957633018494,0.09505791962146759,1.7557041645050049 -1.0,2.0721502863934007,0.9213039875030518,0.17482376098632812,6.230146884918213 -2.0,4.144300572786801,1.6580771207809448,0.6465433835983276,13.17214298248291 -4.0,8.288601145573603,4.413588523864746,4.0899200439453125,19.996070861816406 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/run.log deleted file mode 100644 index 976a664..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-05 20:40:35.010 | INFO | __main__:main:181 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 20:40:35.032 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 20:40:36.496 | INFO | __main__:main:196 - === calibrate === -2026-05-05 20:40:40.370 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. Built in 1889, it is one of the most recognizable landmarks in the world and is a UNESCO World Heritage Site.<|im_end|> -=== /CALIBRATE === -2026-05-05 20:41:13.919 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.011 p50=0.001 p90=0.034 p95=0.049 max=0.226 n=1258 -2026-05-05 20:41:52.624 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.039 p50=0.003 p90=0.134 p95=0.176 max=1.569 n=1399 -2026-05-05 20:42:37.168 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.169 p50=0.009 p90=0.513 p95=0.844 max=4.077 n=1609 -2026-05-05 20:43:34.324 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.227 p50=0.024 p90=0.503 p95=1.329 max=13.262 n=2048 -2026-05-05 20:44:31.345 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+2.0722 mean=0.197 p50=0.005 p90=0.600 p95=0.980 max=10.868 n=2048 -2026-05-05 20:44:31.346 | INFO | __main__:main:203 - c_star = +2.0722 -2026-05-05 20:44:31.352 | INFO | __main__:main:217 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 20:44:31.396 | INFO | __main__:main:229 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 20:44:31.400 | INFO | __main__:main:251 - === eval alpha=0.0 c=+0.0000 === -2026-05-05 20:46:38.067 | INFO | __main__:main:349 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 0 pmass=0.992 p_true=0.295 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 1 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 2 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 3 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 5 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 8 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 13 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 23 pmass=0.988 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 38 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t= 64 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t=108 pmass=0.996 p_true=0.295 argmax='0' -2026-05-05 20:46:38.067 | INFO | __main__:main:351 - t=181 pmass=0.997 p_true=0.321 argmax='0' -2026-05-05 20:46:38.068 | INFO | __main__:main:351 - t=304 pmass=0.997 p_true=0.349 argmax='0' -2026-05-05 20:46:38.068 | INFO | __main__:main:351 - t=512 pmass=0.998 p_true=0.469 argmax='0' -2026-05-05 20:48:24.891 | INFO | __main__:main:251 - === eval alpha=0.5 c=+1.0361 === -2026-05-05 20:50:31.214 | INFO | __main__:main:349 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='The user is asking a specific scientific question about the color of the sky.\nThe question is: "Is the sky blue primaril' -2026-05-05 20:50:31.214 | INFO | __main__:main:351 - t= 0 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 20:50:31.214 | INFO | __main__:main:351 - t= 1 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 20:50:31.214 | INFO | __main__:main:351 - t= 2 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 20:50:31.214 | INFO | __main__:main:351 - t= 3 pmass=0.997 p_true=0.271 argmax='0' -2026-05-05 20:50:31.214 | INFO | __main__:main:351 - t= 5 pmass=0.997 p_true=0.296 argmax='0' -2026-05-05 20:50:31.214 | INFO | __main__:main:351 - t= 8 pmass=0.998 p_true=0.296 argmax='0' -2026-05-05 20:50:31.215 | INFO | __main__:main:351 - t= 13 pmass=0.998 p_true=0.271 argmax='0' -2026-05-05 20:50:31.215 | INFO | __main__:main:351 - t= 23 pmass=0.996 p_true=0.273 argmax='0' -2026-05-05 20:50:31.215 | INFO | __main__:main:351 - t= 38 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 20:50:31.215 | INFO | __main__:main:351 - t= 64 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 20:50:31.215 | INFO | __main__:main:351 - t=108 pmass=0.999 p_true=0.349 argmax='0' -2026-05-05 20:50:31.215 | INFO | __main__:main:351 - t=181 pmass=0.999 p_true=0.408 argmax='0' -2026-05-05 20:50:31.215 | INFO | __main__:main:351 - t=304 pmass=0.999 p_true=0.501 argmax='0' -2026-05-05 20:50:31.215 | INFO | __main__:main:351 - t=512 pmass=0.999 p_true=0.532 argmax='1' -2026-05-05 20:52:17.868 | INFO | __main__:main:251 - === eval alpha=1.0 c=+2.0722 === -2026-05-05 20:54:24.225 | INFO | __main__:main:349 - [debug] alpha=1.0 eval[0] gen_len=512 text[:120]='The question asks whether the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon' -2026-05-05 20:54:24.225 | INFO | __main__:main:351 - t= 0 pmass=0.998 p_true=0.598 argmax='1' -2026-05-05 20:54:24.225 | INFO | __main__:main:351 - t= 1 pmass=0.998 p_true=0.567 argmax='1' -2026-05-05 20:54:24.225 | INFO | __main__:main:351 - t= 2 pmass=0.998 p_true=0.597 argmax='1' -2026-05-05 20:54:24.225 | INFO | __main__:main:351 - t= 3 pmass=0.998 p_true=0.597 argmax='1' -2026-05-05 20:54:24.225 | INFO | __main__:main:351 - t= 5 pmass=0.998 p_true=0.627 argmax='1' -2026-05-05 20:54:24.225 | INFO | __main__:main:351 - t= 8 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 20:54:24.225 | INFO | __main__:main:351 - t= 13 pmass=0.999 p_true=0.566 argmax='1' -2026-05-05 20:54:24.226 | INFO | __main__:main:351 - t= 23 pmass=0.998 p_true=0.568 argmax='1' -2026-05-05 20:54:24.226 | INFO | __main__:main:351 - t= 38 pmass=0.999 p_true=0.596 argmax='1' -2026-05-05 20:54:24.226 | INFO | __main__:main:351 - t= 64 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 20:54:24.226 | INFO | __main__:main:351 - t=108 pmass=0.998 p_true=0.567 argmax='1' -2026-05-05 20:54:24.226 | INFO | __main__:main:351 - t=181 pmass=0.999 p_true=0.595 argmax='1' -2026-05-05 20:54:24.226 | INFO | __main__:main:351 - t=304 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 20:54:24.226 | INFO | __main__:main:351 - t=512 pmass=0.998 p_true=0.568 argmax='1' -2026-05-05 20:56:10.980 | INFO | __main__:main:251 - === eval alpha=2.0 c=+4.1443 === -2026-05-05 20:58:19.168 | INFO | __main__:main:349 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]='The\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\n' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 0 pmass=0.972 p_true=0.975 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 1 pmass=0.971 p_true=0.972 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 2 pmass=0.966 p_true=0.974 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 3 pmass=0.970 p_true=0.977 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 5 pmass=0.970 p_true=0.978 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 8 pmass=0.971 p_true=0.978 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 13 pmass=0.965 p_true=0.975 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 23 pmass=0.953 p_true=0.977 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 38 pmass=0.952 p_true=0.977 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t= 64 pmass=0.935 p_true=0.976 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t=108 pmass=0.911 p_true=0.975 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t=181 pmass=0.905 p_true=0.975 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t=304 pmass=0.852 p_true=0.975 argmax='1' -2026-05-05 20:58:19.168 | INFO | __main__:main:351 - t=512 pmass=0.798 p_true=0.977 argmax='1' -2026-05-05 21:00:08.606 | INFO | __main__:main:251 - === eval alpha=4.0 c=+8.2886 === -2026-05-05 21:02:17.251 | INFO | __main__:main:349 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]='\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 0 pmass=0.070 p_true=0.998 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 1 pmass=0.069 p_true=0.997 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 2 pmass=0.065 p_true=0.997 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 3 pmass=0.069 p_true=0.998 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 5 pmass=0.063 p_true=0.997 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 8 pmass=0.063 p_true=0.997 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 13 pmass=0.056 p_true=0.997 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 23 pmass=0.048 p_true=0.997 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 38 pmass=0.039 p_true=0.997 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t= 64 pmass=0.033 p_true=0.996 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t=108 pmass=0.025 p_true=0.996 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t=181 pmass=0.018 p_true=0.996 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t=304 pmass=0.016 p_true=0.996 argmax='\n' -2026-05-05 21:02:17.251 | INFO | __main__:main:351 - t=512 pmass=0.012 p_true=0.995 argmax='\n' -2026-05-05 21:04:04.429 | INFO | __main__:main:391 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/trajectory.json deleted file mode 100644 index cdd9813..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s0_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - "fork_points_full": [ - 0, - 1, - 2, - 3, - 4, - 5, - 6, - 7, - 8, - 9, - 10, - 11, - 12, - 13, - 14, - 15, - 16, - 17, - 18, - 19, - 20, - 21, - 22, - 23, - 24, - 25, - 26, - 27, - 28, - 29, - 30, - 31, - 32, - 33, - 34, - 35, - 36, - 37, - 38, - 39, - 40, - 41, - 42, - 43, - 44, - 45, - 46, - 47, - 48, - 49, - 50, - 51, - 52, - 53, - 54, - 55, - 56, - 57, - 58, - 59, - 60, - 61, - 62, - 63, - 64, - 65, - 66, - 67, - 68, - 69, - 70, - 71, - 72, - 73, - 74, - 75, - 76, - 77, - 78, - 79, - 80, - 81, - 82, - 83, - 84, - 85, - 86, - 87, - 88, - 89, - 90, - 91, - 92, - 93, - 94, - 95, - 96, - 97, - 98, - 99, - 100, - 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output, but the instruction says \"answer only with...\". I need to check if the final output should be just the JSON string or if I can include the reasoning text before it. The prompt says \"Reason for at least 80 words before the final answer. Then answer only with...\". This implies the structure: [Reasoning] [JSON].)\n * Constraint 4: \"If you use numeric JSON, use 1 for true and 0 for false.\" This likely refers to the JSON structure itself, not the text content.\n\n2. **Evaluate the Physics:**\n * Rayleigh scattering occurs when light scatters by particles much smaller than the wavelength of the light.\n * The sky appears blue because the atmosphere is mostly composed of nitrogen and oxygen molecules, which are much smaller than the wavelength of visible light.\n * This causes shorter wavelengths (blue/violet) to scatter more than longer wavelengths (red/orange).\n * Therefore, the sky appears blue.\n * The question asks if it is *primarily* because of Rayleigh scattering.\n * While the scattering is due to Rayleigh scattering, the *primary* reason for the blue color is the scattering of sunlight by the atmosphere.\n * So, the answer is True.\n\n3. **Drafting the Reasoning (80+ words):**\n * I need to explain the physics of Rayleigh scattering clearly.\n * Mention the wavelength dependence.\n * Mention the atmosphere composition.\n * Mention the scattering mechanism.\n * Mention the color perception.\n * Ensure the word count is sufficient.\n\n *Draft:*\n The sky appears blue due to a phenomenon known as Rayleigh scattering, which is a specific type of light scattering that occurs when sunlight passes through the Earth's atmosphere. 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The user is asking a specific scientific question about the color of the sky.\nThe question is: \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\nThe user also requests a specific format:\n1. A paragraph of at least 80 words explaining the reasoning.\n2. A final answer in JSON format: {\"choice\": true} or {\"choice\": false}.\n3. If numeric, use 1 or 0.\n\nLet's break down the reasoning:\n- Rayleigh scattering occurs when sunlight is scattered by particles in the atmosphere, specifically by molecules and small particles.\n- The wavelength of blue light is shorter than red light.\n- As the light passes through the atmosphere, shorter wavelengths (blue) are scattered more than longer wavelengths (red).\n- This scattering is responsible for the blue color of the sky.\n- The question asks if it is *primarily* due to Rayleigh scattering.\n- While other factors like ozone and water vapor play a role, the primary mechanism for the blue color of the sky is indeed Rayleigh scattering.\n- The answer is true.\n\nNow I need to construct the text with at least 80 words.\n- Start with a sentence about the phenomenon.\n- Explain the physics of Rayleigh scattering.\n- Mention the wavelength differences.\n- Explain how this leads to the blue color.\n- Mention the role of the atmosphere.\n- Conclude that it is primarily due to Rayleigh scattering.\n- Ensure the word count is sufficient.\n- Then provide the JSON.\n\nDrafting the text:\nThe sky appears blue primarily due to a phenomenon known as Rayleigh scattering. When sunlight travels through the Earth's atmosphere, it encounters a mixture of gas molecules and particles. These particles act as a medium for the scattering of light. Specifically, the shorter wavelengths of blue light are scattered more efficiently than the longer wavelengths of red light. This process is governed by the physical properties of the atmosphere, where the density of the particles is higher for shorter wavelengths. As the sunlight passes through the atmosphere, the blue light is scattered in all directions by the particles in the air. This scattering effect is what allows us to see the sky as blue. It is not just the color of the particles but the interaction of the light with the atmosphere's composition. The scattering of blue light by the molecules in the air is the main mechanism responsible for the blue color of the sky. This phenomenon is a direct result of the interaction between", - "gen_len": 512, - "pmass_per_fork": [ - 0.9971364736557007, - 0.9971416592597961, - 0.9968072772026062, - 0.9974828362464905, - 0.9972740411758423, - 0.9977633953094482, - 0.9976824522018433, - 0.9959710836410522, - 0.9970340728759766, - 0.9966278076171875, - 0.9990935325622559, - 0.9994003772735596, - 0.9986451864242554, - 0.9992013573646545 - ], - "p_true_per_fork": [ - 0.27165922024425054, - 0.2716591387885914, - 0.2716372596129123, - 0.27134703949083433, - 0.29643500796880995, - 0.2961859154875729, - 0.27107118306995187, - 0.27288940031740994, - 0.29706435933832376, - 0.29740332905917477, - 0.34942971478804075, - 0.40772448897038555, - 0.5007732108053565, - 0.5316241959804203 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The question asks whether the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon:** Rayleigh scattering occurs when sunlight is scattered by particles of gas and liquid in the atmosphere, particularly by molecules and small particles.\n2. **Determine the primary mechanism:** The scattering of sunlight by air molecules is responsible for the blue color of the sky.\n * Sunlight is composed primarily of:\n * Short-wavelength components (blue, violet)\n * Long-wavelength components (red, yellow, orange)\n * As the sun emits light, the shorter wavelengths are scattered more by the air molecules.\n * When these scattered rays reach the observer, they appear blue.\n * The term \"Rayleigh scattering\" specifically refers to the scattering of light by particles of medium size, where the intensity of the scattered light is directly proportional to the square of the radius of the particle and inversely proportional to the square of the particle's diameter.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is", - "gen_len": 512, - "pmass_per_fork": [ - 0.9975670576095581, - 0.997940182685852, - 0.9979318380355835, - 0.9980799555778503, - 0.9979759454727173, - 0.9984729290008545, - 0.9985673427581787, - 0.9975487589836121, - 0.998681366443634, - 0.9982986450195312, - 0.9980592727661133, - 0.9989559650421143, - 0.998359203338623, - 0.9977807998657227 - ], - "p_true_per_fork": [ - 0.5981838684221021, - 0.5671880773052881, - 0.5969834584315052, - 0.5969903379533584, - 0.6266422206095003, - 0.5960629064836569, - 0.5661070316202655, - 0.5678752413608638, - 0.595672790356938, - 0.5960808713669955, - 0.5666378743952063, - 0.5950374055002533, - 0.5960766374849299, - 0.567897880434182 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.9715890884399414, - 0.9705772399902344, - 0.9657134413719177, - 0.9704452157020569, - 0.9695420265197754, - 0.9706888794898987, - 0.9650535583496094, - 0.9530164003372192, - 0.9519124627113342, - 0.9348003268241882, - 0.9111599922180176, - 0.9045135974884033, - 0.8517831563949585, - 0.7981966137886047 - ], - "p_true_per_fork": [ - 0.9753269418516073, - 0.9722658238311142, - 0.9740674931613796, - 0.9767700269491107, - 0.9781475926455426, - 0.9781611262553949, - 0.9752587895035851, - 0.97716754235448, - 0.9774126916785003, - 0.9763124293682508, - 0.9752563397607316, - 0.9749698662210273, - 0.9748574894148255, - 0.9771643901101117 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.06986699998378754, - 0.06929988414049149, - 0.06504212319850922, - 0.06900043785572052, - 0.06303121149539948, - 0.06346835941076279, - 0.05626155436038971, - 0.048119835555553436, - 0.03930639103055, - 0.03266138955950737, - 0.02479623444378376, - 0.01831611804664135, - 0.015542012639343739, - 0.011794806458055973 - ], - "p_true_per_fork": [ - 0.997549319755999, - 0.9973996479391739, - 0.9973963712330915, - 0.9975529511532905, - 0.9973942582960458, - 0.997395101869486, - 0.9971372813661724, - 0.9970409125295983, - 0.9971069277010791, - 0.9964114443606104, - 0.9961745859528205, - 0.9961472007289449, - 0.9958968468067623, - 0.9952137964009974 - ], - "argmax_per_fork": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/results.csv deleted file mode 100644 index b09d9b8..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.0,0.0,0.0 -0.5,1.0360751431967004,0.37549957633018494,0.09505791962146759,1.7557041645050049 -1.0,2.0721502863934007,0.9213039875030518,0.17482376098632812,6.230146884918213 -2.0,4.144300572786801,1.6580771207809448,0.6465433835983276,13.17214298248291 -4.0,8.288601145573603,4.413588523864746,4.0899200439453125,19.996070861816406 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/run.log deleted file mode 100644 index db99d76..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-05 21:04:13.603 | INFO | __main__:main:181 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 21:04:13.628 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 21:04:14.327 | INFO | __main__:main:196 - === calibrate === -2026-05-05 21:04:17.747 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. Built in 1889, it is one of the most recognizable landmarks in the world and is a UNESCO World Heritage Site.<|im_end|> -=== /CALIBRATE === -2026-05-05 21:04:50.677 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.011 p50=0.001 p90=0.034 p95=0.049 max=0.226 n=1258 -2026-05-05 21:05:29.303 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.039 p50=0.003 p90=0.134 p95=0.176 max=1.569 n=1399 -2026-05-05 21:06:13.826 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.169 p50=0.009 p90=0.513 p95=0.844 max=4.077 n=1609 -2026-05-05 21:07:11.145 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.227 p50=0.024 p90=0.503 p95=1.329 max=13.262 n=2048 -2026-05-05 21:08:08.502 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+2.0722 mean=0.197 p50=0.005 p90=0.600 p95=0.980 max=10.868 n=2048 -2026-05-05 21:08:08.503 | INFO | __main__:main:203 - c_star = +2.0722 -2026-05-05 21:08:08.509 | INFO | __main__:main:217 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 21:08:08.515 | INFO | __main__:main:229 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 21:08:08.517 | INFO | __main__:main:251 - === eval alpha=0.0 c=+0.0000 === -2026-05-05 21:10:15.530 | INFO | __main__:main:349 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 0 pmass=0.992 p_true=0.295 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 1 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 2 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 3 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 5 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 8 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 13 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 23 pmass=0.988 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 38 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t= 64 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t=108 pmass=0.996 p_true=0.295 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t=181 pmass=0.997 p_true=0.321 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t=304 pmass=0.997 p_true=0.349 argmax='0' -2026-05-05 21:10:15.531 | INFO | __main__:main:351 - t=512 pmass=0.998 p_true=0.469 argmax='0' -2026-05-05 21:12:01.752 | INFO | __main__:main:251 - === eval alpha=0.5 c=+1.0361 === -2026-05-05 21:14:11.140 | INFO | __main__:main:349 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='The user is asking a specific scientific question about the color of the sky.\nThe question is: "Is the sky blue primaril' -2026-05-05 21:14:11.140 | INFO | __main__:main:351 - t= 0 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 1 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 2 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 3 pmass=0.997 p_true=0.271 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 5 pmass=0.997 p_true=0.296 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 8 pmass=0.998 p_true=0.296 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 13 pmass=0.998 p_true=0.271 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 23 pmass=0.996 p_true=0.273 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 38 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t= 64 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t=108 pmass=0.999 p_true=0.349 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t=181 pmass=0.999 p_true=0.408 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t=304 pmass=0.999 p_true=0.501 argmax='0' -2026-05-05 21:14:11.141 | INFO | __main__:main:351 - t=512 pmass=0.999 p_true=0.532 argmax='1' -2026-05-05 21:16:02.454 | INFO | __main__:main:251 - === eval alpha=1.0 c=+2.0722 === -2026-05-05 21:18:13.454 | INFO | __main__:main:349 - [debug] alpha=1.0 eval[0] gen_len=512 text[:120]='The question asks whether the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 0 pmass=0.998 p_true=0.598 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 1 pmass=0.998 p_true=0.567 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 2 pmass=0.998 p_true=0.597 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 3 pmass=0.998 p_true=0.597 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 5 pmass=0.998 p_true=0.627 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 8 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 13 pmass=0.999 p_true=0.566 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 23 pmass=0.998 p_true=0.568 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 38 pmass=0.999 p_true=0.596 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t= 64 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t=108 pmass=0.998 p_true=0.567 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t=181 pmass=0.999 p_true=0.595 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t=304 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 21:18:13.491 | INFO | __main__:main:351 - t=512 pmass=0.998 p_true=0.568 argmax='1' -2026-05-05 21:19:59.384 | INFO | __main__:main:251 - === eval alpha=2.0 c=+4.1443 === -2026-05-05 21:22:05.378 | INFO | __main__:main:349 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]='The\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\n' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 0 pmass=0.972 p_true=0.975 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 1 pmass=0.971 p_true=0.972 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 2 pmass=0.966 p_true=0.974 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 3 pmass=0.970 p_true=0.977 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 5 pmass=0.970 p_true=0.978 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 8 pmass=0.971 p_true=0.978 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 13 pmass=0.965 p_true=0.975 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 23 pmass=0.953 p_true=0.977 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 38 pmass=0.952 p_true=0.977 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t= 64 pmass=0.935 p_true=0.976 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t=108 pmass=0.911 p_true=0.975 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t=181 pmass=0.905 p_true=0.975 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t=304 pmass=0.852 p_true=0.975 argmax='1' -2026-05-05 21:22:05.378 | INFO | __main__:main:351 - t=512 pmass=0.798 p_true=0.977 argmax='1' -2026-05-05 21:23:50.491 | INFO | __main__:main:251 - === eval alpha=4.0 c=+8.2886 === -2026-05-05 21:25:55.443 | INFO | __main__:main:349 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]='\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 0 pmass=0.070 p_true=0.998 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 1 pmass=0.069 p_true=0.997 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 2 pmass=0.065 p_true=0.997 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 3 pmass=0.069 p_true=0.998 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 5 pmass=0.063 p_true=0.997 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 8 pmass=0.063 p_true=0.997 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 13 pmass=0.056 p_true=0.997 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 23 pmass=0.048 p_true=0.997 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 38 pmass=0.039 p_true=0.997 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t= 64 pmass=0.033 p_true=0.996 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t=108 pmass=0.025 p_true=0.996 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t=181 pmass=0.018 p_true=0.996 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t=304 pmass=0.016 p_true=0.996 argmax='\n' -2026-05-05 21:25:55.443 | INFO | __main__:main:351 - t=512 pmass=0.012 p_true=0.995 argmax='\n' -2026-05-05 21:27:40.004 | INFO | __main__:main:391 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/trajectory.json deleted file mode 100644 index cdd9813..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s1_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - "fork_points_full": [ - 0, - 1, - 2, - 3, - 4, - 5, - 6, - 7, - 8, - 9, - 10, - 11, - 12, - 13, - 14, - 15, - 16, - 17, - 18, - 19, - 20, - 21, - 22, - 23, - 24, - 25, - 26, - 27, - 28, - 29, - 30, - 31, - 32, - 33, - 34, - 35, - 36, - 37, - 38, - 39, - 40, - 41, - 42, - 43, - 44, - 45, - 46, - 47, - 48, - 49, - 50, - 51, - 52, - 53, - 54, - 55, - 56, - 57, - 58, - 59, - 60, - 61, - 62, - 63, - 64, - 65, - 66, - 67, - 68, - 69, - 70, - 71, - 72, - 73, - 74, - 75, - 76, - 77, - 78, - 79, - 80, - 81, - 82, - 83, - 84, - 85, - 86, - 87, - 88, - 89, - 90, - 91, - 92, - 93, - 94, - 95, - 96, - 97, - 98, - 99, - 100, - 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output, but the instruction says \"answer only with...\". I need to check if the final output should be just the JSON string or if I can include the reasoning text before it. The prompt says \"Reason for at least 80 words before the final answer. Then answer only with...\". This implies the structure: [Reasoning] [JSON].)\n * Constraint 4: \"If you use numeric JSON, use 1 for true and 0 for false.\" This likely refers to the JSON structure itself, not the text content.\n\n2. **Evaluate the Physics:**\n * Rayleigh scattering occurs when light scatters by particles much smaller than the wavelength of the light.\n * The sky appears blue because the atmosphere is mostly composed of nitrogen and oxygen molecules, which are much smaller than the wavelength of visible light.\n * This causes shorter wavelengths (blue/violet) to scatter more than longer wavelengths (red/orange).\n * Therefore, the sky appears blue.\n * The question asks if it is *primarily* because of Rayleigh scattering.\n * While the scattering is due to Rayleigh scattering, the *primary* reason for the blue color is the scattering of sunlight by the atmosphere.\n * So, the answer is True.\n\n3. **Drafting the Reasoning (80+ words):**\n * I need to explain the physics of Rayleigh scattering clearly.\n * Mention the wavelength dependence.\n * Mention the atmosphere composition.\n * Mention the scattering mechanism.\n * Mention the color perception.\n * Ensure the word count is sufficient.\n\n *Draft:*\n The sky appears blue due to a phenomenon known as Rayleigh scattering, which is a specific type of light scattering that occurs when sunlight passes through the Earth's atmosphere. 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The user is asking a specific scientific question about the color of the sky.\nThe question is: \"Is the sky blue primarily because of Rayleigh scattering of sunlight?\"\nThe user also requests a specific format:\n1. A paragraph of at least 80 words explaining the reasoning.\n2. A final answer in JSON format: {\"choice\": true} or {\"choice\": false}.\n3. If numeric, use 1 or 0.\n\nLet's break down the reasoning:\n- Rayleigh scattering occurs when sunlight is scattered by particles in the atmosphere, specifically by molecules and small particles.\n- The wavelength of blue light is shorter than red light.\n- As the light passes through the atmosphere, shorter wavelengths (blue) are scattered more than longer wavelengths (red).\n- This scattering is responsible for the blue color of the sky.\n- The question asks if it is *primarily* due to Rayleigh scattering.\n- While other factors like ozone and water vapor play a role, the primary mechanism for the blue color of the sky is indeed Rayleigh scattering.\n- The answer is true.\n\nNow I need to construct the text with at least 80 words.\n- Start with a sentence about the phenomenon.\n- Explain the physics of Rayleigh scattering.\n- Mention the wavelength differences.\n- Explain how this leads to the blue color.\n- Mention the role of the atmosphere.\n- Conclude that it is primarily due to Rayleigh scattering.\n- Ensure the word count is sufficient.\n- Then provide the JSON.\n\nDrafting the text:\nThe sky appears blue primarily due to a phenomenon known as Rayleigh scattering. When sunlight travels through the Earth's atmosphere, it encounters a mixture of gas molecules and particles. These particles act as a medium for the scattering of light. Specifically, the shorter wavelengths of blue light are scattered more efficiently than the longer wavelengths of red light. This process is governed by the physical properties of the atmosphere, where the density of the particles is higher for shorter wavelengths. As the sunlight passes through the atmosphere, the blue light is scattered in all directions by the particles in the air. This scattering effect is what allows us to see the sky as blue. It is not just the color of the particles but the interaction of the light with the atmosphere's composition. The scattering of blue light by the molecules in the air is the main mechanism responsible for the blue color of the sky. This phenomenon is a direct result of the interaction between", - "gen_len": 512, - "pmass_per_fork": [ - 0.9971364736557007, - 0.9971416592597961, - 0.9968072772026062, - 0.9974828362464905, - 0.9972740411758423, - 0.9977633953094482, - 0.9976824522018433, - 0.9959710836410522, - 0.9970340728759766, - 0.9966278076171875, - 0.9990935325622559, - 0.9994003772735596, - 0.9986451864242554, - 0.9992013573646545 - ], - "p_true_per_fork": [ - 0.27165922024425054, - 0.2716591387885914, - 0.2716372596129123, - 0.27134703949083433, - 0.29643500796880995, - 0.2961859154875729, - 0.27107118306995187, - 0.27288940031740994, - 0.29706435933832376, - 0.29740332905917477, - 0.34942971478804075, - 0.40772448897038555, - 0.5007732108053565, - 0.5316241959804203 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The question asks whether the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon:** Rayleigh scattering occurs when sunlight is scattered by particles of gas and liquid in the atmosphere, particularly by molecules and small particles.\n2. **Determine the primary mechanism:** The scattering of sunlight by air molecules is responsible for the blue color of the sky.\n * Sunlight is composed primarily of:\n * Short-wavelength components (blue, violet)\n * Long-wavelength components (red, yellow, orange)\n * As the sun emits light, the shorter wavelengths are scattered more by the air molecules.\n * When these scattered rays reach the observer, they appear blue.\n * The term \"Rayleigh scattering\" specifically refers to the scattering of light by particles of medium size, where the intensity of the scattered light is directly proportional to the square of the radius of the particle and inversely proportional to the square of the particle's diameter.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is primarily used to describe the scattering of light by particles of size comparable to the wavelength of the light.\n * The term \"Rayleigh scattering\" is", - "gen_len": 512, - "pmass_per_fork": [ - 0.9975670576095581, - 0.997940182685852, - 0.9979318380355835, - 0.9980799555778503, - 0.9979759454727173, - 0.9984729290008545, - 0.9985673427581787, - 0.9975487589836121, - 0.998681366443634, - 0.9982986450195312, - 0.9980592727661133, - 0.9989559650421143, - 0.998359203338623, - 0.9977807998657227 - ], - "p_true_per_fork": [ - 0.5981838684221021, - 0.5671880773052881, - 0.5969834584315052, - 0.5969903379533584, - 0.6266422206095003, - 0.5960629064836569, - 0.5661070316202655, - 0.5678752413608638, - 0.595672790356938, - 0.5960808713669955, - 0.5666378743952063, - 0.5950374055002533, - 0.5960766374849299, - 0.567897880434182 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "The\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.9715890884399414, - 0.9705772399902344, - 0.9657134413719177, - 0.9704452157020569, - 0.9695420265197754, - 0.9706888794898987, - 0.9650535583496094, - 0.9530164003372192, - 0.9519124627113342, - 0.9348003268241882, - 0.9111599922180176, - 0.9045135974884033, - 0.8517831563949585, - 0.7981966137886047 - ], - "p_true_per_fork": [ - 0.9753269418516073, - 0.9722658238311142, - 0.9740674931613796, - 0.9767700269491107, - 0.9781475926455426, - 0.9781611262553949, - 0.9752587895035851, - 0.97716754235448, - 0.9774126916785003, - 0.9763124293682508, - 0.9752563397607316, - 0.9749698662210273, - 0.9748574894148255, - 0.9771643901101117 - ], - "argmax_per_fork": [ - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1", - "1" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n", - "gen_len": 512, - "pmass_per_fork": [ - 0.06986699998378754, - 0.06929988414049149, - 0.06504212319850922, - 0.06900043785572052, - 0.06303121149539948, - 0.06346835941076279, - 0.05626155436038971, - 0.048119835555553436, - 0.03930639103055, - 0.03266138955950737, - 0.02479623444378376, - 0.01831611804664135, - 0.015542012639343739, - 0.011794806458055973 - ], - "p_true_per_fork": [ - 0.997549319755999, - 0.9973996479391739, - 0.9973963712330915, - 0.9975529511532905, - 0.9973942582960458, - 0.997395101869486, - 0.9971372813661724, - 0.9970409125295983, - 0.9971069277010791, - 0.9964114443606104, - 0.9961745859528205, - 0.9961472007289449, - 0.9958968468067623, - 0.9952137964009974 - ], - "argmax_per_fork": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/results.csv deleted file mode 100644 index b09d9b8..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.0,0.0,0.0 -0.5,1.0360751431967004,0.37549957633018494,0.09505791962146759,1.7557041645050049 -1.0,2.0721502863934007,0.9213039875030518,0.17482376098632812,6.230146884918213 -2.0,4.144300572786801,1.6580771207809448,0.6465433835983276,13.17214298248291 -4.0,8.288601145573603,4.413588523864746,4.0899200439453125,19.996070861816406 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/run.log deleted file mode 100644 index 0c60c62..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-05 21:27:57.893 | INFO | __main__:main:181 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 21:27:57.916 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 21:27:58.754 | INFO | __main__:main:196 - === calibrate === -2026-05-05 21:28:02.329 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. Built in 1889, it is one of the most recognizable landmarks in the world and is a UNESCO World Heritage Site.<|im_end|> -=== /CALIBRATE === -2026-05-05 21:28:34.569 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.011 p50=0.001 p90=0.034 p95=0.049 max=0.226 n=1258 -2026-05-05 21:29:12.838 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.039 p50=0.003 p90=0.134 p95=0.176 max=1.569 n=1399 -2026-05-05 21:29:56.884 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.169 p50=0.009 p90=0.513 p95=0.844 max=4.077 n=1609 -2026-05-05 21:30:52.860 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.227 p50=0.024 p90=0.503 p95=1.329 max=13.262 n=2048 -2026-05-05 21:31:47.020 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+2.0722 mean=0.197 p50=0.005 p90=0.600 p95=0.980 max=10.868 n=2048 -2026-05-05 21:31:47.020 | INFO | __main__:main:203 - c_star = +2.0722 -2026-05-05 21:31:47.027 | INFO | __main__:main:217 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 21:31:47.097 | INFO | __main__:main:229 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 21:31:47.100 | INFO | __main__:main:251 - === eval alpha=0.0 c=+0.0000 === -2026-05-05 21:33:52.123 | INFO | __main__:main:349 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 0 pmass=0.992 p_true=0.295 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 1 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 2 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 3 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 5 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 8 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 13 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 23 pmass=0.988 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 38 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t= 64 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t=108 pmass=0.996 p_true=0.295 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t=181 pmass=0.997 p_true=0.321 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t=304 pmass=0.997 p_true=0.349 argmax='0' -2026-05-05 21:33:52.123 | INFO | __main__:main:351 - t=512 pmass=0.998 p_true=0.469 argmax='0' -2026-05-05 21:35:38.072 | INFO | __main__:main:251 - === eval alpha=0.5 c=+1.0361 === -2026-05-05 21:37:45.051 | INFO | __main__:main:349 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='The user is asking a specific scientific question about the color of the sky.\nThe question is: "Is the sky blue primaril' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 0 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 1 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 2 pmass=0.997 p_true=0.272 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 3 pmass=0.997 p_true=0.271 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 5 pmass=0.997 p_true=0.296 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 8 pmass=0.998 p_true=0.296 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 13 pmass=0.998 p_true=0.271 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 23 pmass=0.996 p_true=0.273 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 38 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t= 64 pmass=0.997 p_true=0.297 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t=108 pmass=0.999 p_true=0.349 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t=181 pmass=0.999 p_true=0.408 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t=304 pmass=0.999 p_true=0.501 argmax='0' -2026-05-05 21:37:45.051 | INFO | __main__:main:351 - t=512 pmass=0.999 p_true=0.532 argmax='1' -2026-05-05 21:39:31.465 | INFO | __main__:main:251 - === eval alpha=1.0 c=+2.0722 === -2026-05-05 21:41:38.018 | INFO | __main__:main:349 - [debug] alpha=1.0 eval[0] gen_len=512 text[:120]='The question asks whether the sky is blue primarily due to Rayleigh scattering of sunlight.\n1. **Analyze the phenomenon' -2026-05-05 21:41:38.018 | INFO | __main__:main:351 - t= 0 pmass=0.998 p_true=0.598 argmax='1' -2026-05-05 21:41:38.018 | INFO | __main__:main:351 - t= 1 pmass=0.998 p_true=0.567 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t= 2 pmass=0.998 p_true=0.597 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t= 3 pmass=0.998 p_true=0.597 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t= 5 pmass=0.998 p_true=0.627 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t= 8 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t= 13 pmass=0.999 p_true=0.566 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t= 23 pmass=0.998 p_true=0.568 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t= 38 pmass=0.999 p_true=0.596 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t= 64 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t=108 pmass=0.998 p_true=0.567 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t=181 pmass=0.999 p_true=0.595 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t=304 pmass=0.998 p_true=0.596 argmax='1' -2026-05-05 21:41:38.019 | INFO | __main__:main:351 - t=512 pmass=0.998 p_true=0.568 argmax='1' -2026-05-05 21:43:23.944 | INFO | __main__:main:251 - === eval alpha=2.0 c=+4.1443 === -2026-05-05 21:45:32.144 | INFO | __main__:main:349 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]='The\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\nThe\n' -2026-05-05 21:45:32.144 | INFO | __main__:main:351 - t= 0 pmass=0.972 p_true=0.975 argmax='1' -2026-05-05 21:45:32.144 | INFO | __main__:main:351 - t= 1 pmass=0.971 p_true=0.972 argmax='1' -2026-05-05 21:45:32.144 | INFO | __main__:main:351 - t= 2 pmass=0.966 p_true=0.974 argmax='1' -2026-05-05 21:45:32.144 | INFO | __main__:main:351 - t= 3 pmass=0.970 p_true=0.977 argmax='1' -2026-05-05 21:45:32.144 | INFO | __main__:main:351 - t= 5 pmass=0.970 p_true=0.978 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t= 8 pmass=0.971 p_true=0.978 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t= 13 pmass=0.965 p_true=0.975 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t= 23 pmass=0.953 p_true=0.977 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t= 38 pmass=0.952 p_true=0.977 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t= 64 pmass=0.935 p_true=0.976 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t=108 pmass=0.911 p_true=0.975 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t=181 pmass=0.905 p_true=0.975 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t=304 pmass=0.852 p_true=0.975 argmax='1' -2026-05-05 21:45:32.145 | INFO | __main__:main:351 - t=512 pmass=0.798 p_true=0.977 argmax='1' -2026-05-05 21:47:20.659 | INFO | __main__:main:251 - === eval alpha=4.0 c=+8.2886 === -2026-05-05 21:49:29.628 | INFO | __main__:main:349 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]='\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 0 pmass=0.070 p_true=0.998 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 1 pmass=0.069 p_true=0.997 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 2 pmass=0.065 p_true=0.997 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 3 pmass=0.069 p_true=0.998 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 5 pmass=0.063 p_true=0.997 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 8 pmass=0.063 p_true=0.997 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 13 pmass=0.056 p_true=0.997 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 23 pmass=0.048 p_true=0.997 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 38 pmass=0.039 p_true=0.997 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t= 64 pmass=0.033 p_true=0.996 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t=108 pmass=0.025 p_true=0.996 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t=181 pmass=0.018 p_true=0.996 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t=304 pmass=0.016 p_true=0.996 argmax='\n' -2026-05-05 21:49:29.629 | INFO | __main__:main:351 - t=512 pmass=0.012 p_true=0.995 argmax='\n' -2026-05-05 21:51:18.720 | INFO | __main__:main:391 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/trajectory.json deleted file mode 100644 index cdd9813..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_mean_diff_s2_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - "fork_points_full": [ - 0, - 1, - 2, - 3, - 4, - 5, - 6, - 7, - 8, - 9, - 10, - 11, - 12, - 13, - 14, - 15, - 16, - 17, - 18, - 19, - 20, - 21, - 22, - 23, - 24, - 25, - 26, - 27, - 28, - 29, - 30, - 31, - 32, - 33, - 34, - 35, - 36, - 37, - 38, - 39, - 40, - 41, - 42, - 43, - 44, - 45, - 46, - 47, - 48, - 49, - 50, - 51, - 52, - 53, - 54, - 55, - 56, - 57, - 58, - 59, - 60, - 61, - 62, - 63, - 64, - 65, - 66, - 67, - 68, - 69, - 70, - 71, - 72, - 73, - 74, - 75, - 76, - 77, - 78, - 79, - 80, - 81, - 82, - 83, - 84, - 85, - 86, - 87, - 88, - 89, - 90, - 91, - 92, - 93, - 94, - 95, - 96, - 97, - 98, - 99, - 100, - 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output, but the instruction says \"answer only with...\". I need to check if the final output should be just the JSON string or if I can include the reasoning text before it. The prompt says \"Reason for at least 80 words before the final answer. Then answer only with...\". This implies the structure: [Reasoning] [JSON].)\n * Constraint 4: \"If you use numeric JSON, use 1 for true and 0 for false.\" This likely refers to the JSON structure itself, not the text content.\n\n2. **Evaluate the Physics:**\n * Rayleigh scattering occurs when light scatters by particles much smaller than the wavelength of the light.\n * The sky appears blue because the atmosphere is mostly composed of nitrogen and oxygen molecules, which are much smaller than the wavelength of visible light.\n * This causes shorter wavelengths (blue/violet) to scatter more than longer wavelengths (red/orange).\n * Therefore, the sky appears blue.\n * The question asks if it is *primarily* because of Rayleigh scattering.\n * While the scattering is due to Rayleigh scattering, the *primary* reason for the blue color is the scattering of sunlight by the atmosphere.\n * So, the answer is True.\n\n3. **Drafting the Reasoning (80+ words):**\n * I need to explain the physics of Rayleigh scattering clearly.\n * Mention the wavelength dependence.\n * Mention the atmosphere composition.\n * Mention the scattering mechanism.\n * Mention the color perception.\n * Ensure the word count is sufficient.\n\n *Draft:*\n The sky appears blue due to a phenomenon known as Rayleigh scattering, which is a specific type of light scattering that occurs when sunlight passes through the Earth's atmosphere. 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write a reason for at least 80 words before the final answer.\n * Constraint 2: Answer *only* with `{\"choice\": true}` or `{\"choice\": false}`.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This implies the final output should be strictly the JSON object, but the instruction says \"Then answer only with...\". Usually, this means the content inside the JSON block. However, looking at the structure \"Reason... Then answer only with...\", I need to ensure the reasoning is separate from the JSON, or the JSON is the final answer. The prompt says \"Then answer only with...\". I will write the reasoning first, then put the JSON at the end.)\n * Wait, re-reading: \"Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}.\"\n * This implies the structure: [Reasoning (>=80 words)] -> [JSON].\n * The final answer must be the JSON.\n\n2. **Evaluate the Physics:**\n * Does the sky appear blue? Yes.\n * Is it primarily Rayleigh scattering? Yes. Shorter wavelengths (blue/violet) are scattered more by molecules in the atmosphere.\n\n3. **Drafting the Reasoning (>=80 words):**\n * Need to explain Rayleigh scattering, the role of the atmosphere, the wavelength dependence, and why violet is excluded (human eye sensitivity).\n * Key points: Sunlight contains all colors. Molecules in air scatter shorter wavelengths (blue/violet) more efficiently than longer wavelengths (red). This causes the blue color.\n * Word count check:\n * \"Rayleigh scattering occurs when sunlight hits particles in the atmosphere...\"\n * \"The scattering mechanism depends on the wavelength of the light...\"\n * \"Blue light has a shorter wavelength...\"\n * \"This causes the sky to appear blue...\"\n * \"Violet is also scattered but less so...\"\n * \"Human eyes are more sensitive to blue...\"\n * \"Therefore, the", - "gen_len": 512, - "pmass_per_fork": [ - 0.9943859577178955, - 0.9951848983764648, - 0.995060920715332, - 0.9953609704971313, - 0.9959374666213989, - 0.9964074492454529, - 0.9961051940917969, - 0.9954240322113037, - 0.9967305660247803, - 0.9964964389801025, - 0.9987193942070007, - 0.9991017580032349, - 0.9992520809173584, - 0.9990634918212891 - ], - "p_true_per_fork": [ - 0.2696434307048544, - 0.26956182223728464, - 0.26966760401969514, - 0.2947071438822019, - 0.269409148970952, - 0.29453838256975623, - 0.2694368571897186, - 0.269489721351121, - 0.2694439775048538, - 0.2693842892959605, - 0.2453074565766509, - 0.2943835859198335, - 0.2943524405928385, - 0.40755845015110514 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "To determine if the sky is blue, one must consider the physics of light interaction with the atmosphere. While Rayleigh scattering is the dominant mechanism for this effect, it is not the sole cause. Other factors like the sun's angle, air molecules, and the specific wavelengths of light involved play a role.\n\nRayleigh scattering occurs when blue light is scattered by the smaller particles in the atmosphere, which is why the sky appears blue. However, the intensity of scattering depends on the wavelength, and the scattering is more efficient for shorter wavelengths (blue/violet). This means that while blue is scattered more, the sky's color is a combination of scattered light from all directions.\n\nThe primary reason for the blue color is indeed Rayleigh scattering, but it is not exclusively or solely due to it. The explanation requires sufficient detail to justify the claim without oversimplifying.\n\nThe reasoning should clearly state that while Rayleigh scattering is the key factor, other variables like the sun's angle and the specific nature of the scattering process ensure the observed color.\n\nTherefore, the statement is too absolute to be entirely true.\n\n```json\n{\n \"choice\": false\n}\n```<|im_end|>", - "gen_len": 239, - "pmass_per_fork": [ - 0.9999780654907227, - 0.9999819397926331, - 0.9999848008155823, - 0.9999849200248718, - 0.9999822378158569, - 0.9999861121177673, - 0.9999860525131226, - 0.9999832510948181, - 0.9999839067459106, - 0.9999737739562988, - 0.9999717473983765, - 0.9999706149101257, - NaN, - NaN - ], - "p_true_per_fork": [ - 0.006692859431183521, - 0.005220131790813298, - 0.005220130752794886, - 0.00591107342885865, - 0.005220131776870341, - 0.0052201308560845755, - 0.004609576980820069, - 0.0040701437341468, - 0.004609577876370184, - 0.005220131489199524, - 0.004070147889492173, - 0.005220132230021588, - NaN, - NaN - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "", - "" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n To determine whether the sky's blueness is fundamentally rooted in Rayleigh scattering, one must examine the physical mechanism behind this phenomenon. Rayleigh's theory specifically describes why visible colors like blue, red, or orange appear when light strikes the sky, or the secondary cause of the secondary color, is the scattering of light by the charged particles in the glass. This is a direct consequence of the energy transfer between the photon and the electron in the glass.\n\n The core of the argument lies in the distinction between the idealized model and the practical reality. While the idealized model correctly identifies that scattering is the primary factor, the implementation of this concept in the real world introduces significant complexity. The efficiency of scattering depends on factors such as the specific angle of incidence, the density of the medium, and the wavelength of the light. For instance, the scattering strength varies significantly between the blue and red hues, which could lead to a claim of absolute purity in the idealized model.\n\n Furthermore, while the idealized model provides the necessary foundation, the practical reality involves numerous variables beyond a simple binary distinction. This requires a deeper examination to ensure that the claim remains ungrounded.\n\n * `true`\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```", - "gen_len": 512, - "pmass_per_fork": [ - 0.999200701713562, - 0.9984449148178101, - 0.9982343912124634, - 0.9983088970184326, - 0.9981101751327515, - 0.9976013898849487, - 0.9975786209106445, - 0.9972823858261108, - 0.9950563907623291, - 0.9938532114028931, - 0.9873227477073669, - 0.9893345832824707, - 0.9675659537315369, - 0.9577990770339966 - ], - "p_true_per_fork": [ - 0.32085297336416324, - 0.6225092158732857, - 0.5312982550628911, - 0.5622360564108185, - 0.5312713676681092, - 0.43791868942135803, - 0.5312840151045101, - 0.500098765080875, - 0.5313947885908555, - 0.4381251821876091, - 0.798293437510975, - 0.9240913585932651, - 0.9147749045857464, - 0.8669438189769558 - ], - "argmax_per_fork": [ - "0", - "1", - "1", - "1", - "1", - "0", - "1", - "0", - "1", - "0", - "1", - "1", - "1", - "1" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "``ivelyly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`", - "gen_len": 512, - "pmass_per_fork": [ - 0.0021878008265048265, - 0.0021046900656074286, - 0.0019272014033049345, - 0.0019884887151420116, - 0.0017225102055817842, - 0.0016103688394650817, - 0.001444017980247736, - 0.0013235616497695446, - 0.0016260750126093626, - 0.0011801891960203648, - 0.0008886298164725304, - 0.0007515917532145977, - 0.0005168851930648088, - 0.0004989537410438061 - ], - "p_true_per_fork": [ - 0.8922201589981411, - 0.9106832456171888, - 0.9175128510494248, - 0.9221720822546884, - 0.9226311084690003, - 0.9339722378071028, - 0.9331581730395665, - 0.9362726432696452, - 0.953776922203697, - 0.9526554674214596, - 0.9541181185820137, - 0.9503973695826258, - 0.9427343798921496, - 0.9385437757418177 - ], - "argmax_per_fork": [ - "\u5411\u5176", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/results.csv deleted file mode 100644 index 9b7912b..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.0,0.0,0.0 -0.5,0.8000976790699599,0.31730812788009644,0.07830381393432617,1.750620722770691 -1.0,1.6001953581399198,1.019828200340271,0.3297921121120453,12.784242630004883 -2.0,3.2003907162798395,2.814893960952759,0.6640235185623169,17.570926666259766 -4.0,6.400781432559679,16.29169464111328,4.985756874084473,18.670639038085938 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/run.log deleted file mode 100644 index 5a36b49..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-05 23:35:55.858 | INFO | __main__:main:185 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 23:35:55.888 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 23:35:56.703 | INFO | __main__:main:200 - === calibrate === -2026-05-05 23:35:59.876 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -That's correct! The Eiffel Tower is located in **Paris**, France, and is one of the most famous landmarks in the world. It was completed in 1887 and is currently the tallest structure in the world.<|im_end|> -=== /CALIBRATE === -2026-05-05 23:36:31.520 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.017 p50=0.007 p90=0.041 p95=0.055 max=1.914 n=1221 -2026-05-05 23:37:07.354 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.055 p50=0.019 p90=0.148 p95=0.209 max=2.344 n=1315 -2026-05-05 23:37:35.569 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.292 p50=0.155 p90=0.746 p95=1.000 max=12.439 n=1033 -2026-05-05 23:38:29.953 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.566 p50=0.056 p90=1.886 p95=2.979 max=18.896 n=2048 -2026-05-05 23:38:58.230 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6002 mean=0.292 p50=0.155 p90=0.746 p95=1.000 max=12.439 n=1033 -2026-05-05 23:38:58.230 | INFO | __main__:main:207 - c_star = +1.6002 -2026-05-05 23:38:58.237 | INFO | __main__:main:221 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 23:38:58.243 | INFO | __main__:main:233 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 23:38:58.246 | INFO | __main__:main:255 - === eval alpha=0.0 c=+0.0000 === -2026-05-05 23:41:02.048 | INFO | __main__:main:353 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 23:41:02.048 | INFO | __main__:main:355 - t= 0 pmass=0.992 p_true=0.295 argmax='0' -2026-05-05 23:41:02.048 | INFO | __main__:main:355 - t= 1 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t= 2 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t= 3 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t= 5 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t= 8 pmass=0.992 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t= 13 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t= 23 pmass=0.988 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t= 38 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t= 64 pmass=0.991 p_true=0.322 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t=108 pmass=0.996 p_true=0.295 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t=181 pmass=0.997 p_true=0.321 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t=304 pmass=0.997 p_true=0.349 argmax='0' -2026-05-05 23:41:02.049 | INFO | __main__:main:355 - t=512 pmass=0.998 p_true=0.469 argmax='0' -2026-05-05 23:42:46.571 | INFO | __main__:main:255 - === eval alpha=0.5 c=+0.8001 === -2026-05-05 23:44:51.154 | INFO | __main__:main:353 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-05 23:44:51.154 | INFO | __main__:main:355 - t= 0 pmass=0.994 p_true=0.270 argmax='0' -2026-05-05 23:44:51.162 | INFO | __main__:main:355 - t= 1 pmass=0.995 p_true=0.270 argmax='0' -2026-05-05 23:44:51.162 | INFO | __main__:main:355 - t= 2 pmass=0.995 p_true=0.270 argmax='0' -2026-05-05 23:44:51.162 | INFO | __main__:main:355 - t= 3 pmass=0.995 p_true=0.295 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t= 5 pmass=0.996 p_true=0.269 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t= 8 pmass=0.996 p_true=0.295 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t= 13 pmass=0.996 p_true=0.269 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t= 23 pmass=0.995 p_true=0.269 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t= 38 pmass=0.997 p_true=0.269 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t= 64 pmass=0.996 p_true=0.269 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t=108 pmass=0.999 p_true=0.245 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t=181 pmass=0.999 p_true=0.294 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t=304 pmass=0.999 p_true=0.294 argmax='0' -2026-05-05 23:44:51.163 | INFO | __main__:main:355 - t=512 pmass=0.999 p_true=0.408 argmax='0' -2026-05-05 23:46:35.657 | INFO | __main__:main:255 - === eval alpha=1.0 c=+1.6002 === -2026-05-05 23:47:43.810 | INFO | __main__:main:353 - [debug] alpha=1.0 eval[0] gen_len=239 text[:120]='To determine if the sky is blue, one must consider the physics of light interaction with the atmosphere. While Rayleigh ' -2026-05-05 23:47:43.810 | INFO | __main__:main:355 - t= 0 pmass=1.000 p_true=0.007 argmax='0' -2026-05-05 23:47:43.810 | INFO | __main__:main:355 - t= 1 pmass=1.000 p_true=0.005 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t= 2 pmass=1.000 p_true=0.005 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t= 3 pmass=1.000 p_true=0.006 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t= 5 pmass=1.000 p_true=0.005 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t= 8 pmass=1.000 p_true=0.005 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t= 13 pmass=1.000 p_true=0.005 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t= 23 pmass=1.000 p_true=0.004 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t= 38 pmass=1.000 p_true=0.005 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t= 64 pmass=1.000 p_true=0.005 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t=108 pmass=1.000 p_true=0.004 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t=181 pmass=1.000 p_true=0.005 argmax='0' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t=304 pmass=nan p_true=nan argmax='' -2026-05-05 23:47:43.811 | INFO | __main__:main:355 - t=512 pmass=nan p_true=nan argmax='' -2026-05-05 23:48:45.925 | INFO | __main__:main:255 - === eval alpha=2.0 c=+3.2004 === -2026-05-05 23:50:43.321 | INFO | __main__:main:353 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]="\n\n\n\n To determine whether the sky's blueness is fundamentally rooted in Rayleigh scattering, one must examine" -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 0 pmass=0.999 p_true=0.321 argmax='0' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 1 pmass=0.998 p_true=0.623 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 2 pmass=0.998 p_true=0.531 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 3 pmass=0.998 p_true=0.562 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 5 pmass=0.998 p_true=0.531 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.438 argmax='0' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.531 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 23 pmass=0.997 p_true=0.500 argmax='0' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 38 pmass=0.995 p_true=0.531 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t= 64 pmass=0.994 p_true=0.438 argmax='0' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t=108 pmass=0.987 p_true=0.798 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t=181 pmass=0.989 p_true=0.924 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t=304 pmass=0.968 p_true=0.915 argmax='1' -2026-05-05 23:50:43.322 | INFO | __main__:main:355 - t=512 pmass=0.958 p_true=0.867 argmax='1' -2026-05-05 23:52:20.890 | INFO | __main__:main:255 - === eval alpha=4.0 c=+6.4008 === -2026-05-05 23:54:25.551 | INFO | __main__:main:353 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]='``ivelyly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 0 pmass=0.002 p_true=0.892 argmax='向其' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 1 pmass=0.002 p_true=0.911 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 2 pmass=0.002 p_true=0.918 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 3 pmass=0.002 p_true=0.922 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 5 pmass=0.002 p_true=0.923 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 8 pmass=0.002 p_true=0.934 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 13 pmass=0.001 p_true=0.933 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 23 pmass=0.001 p_true=0.936 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 38 pmass=0.002 p_true=0.954 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t= 64 pmass=0.001 p_true=0.953 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t=108 pmass=0.001 p_true=0.954 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t=181 pmass=0.001 p_true=0.950 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t=304 pmass=0.001 p_true=0.943 argmax='ily' -2026-05-05 23:54:25.551 | INFO | __main__:main:355 - t=512 pmass=0.000 p_true=0.939 argmax='ily' -2026-05-05 23:56:10.297 | INFO | __main__:main:406 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/trajectory.json deleted file mode 100644 index f1781bb..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s0_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - "fork_points_full": [ - 0, - 1, - 2, - 3, - 4, - 5, - 6, - 7, - 8, - 9, - 10, - 11, - 12, - 13, - 14, - 15, - 16, - 17, - 18, - 19, - 20, - 21, - 22, - 23, - 24, - 25, - 26, - 27, - 28, - 29, - 30, - 31, - 32, - 33, - 34, - 35, - 36, - 37, - 38, - 39, - 40, - 41, - 42, - 43, - 44, - 45, - 46, - 47, - 48, - 49, - 50, - 51, - 52, - 53, - 54, - 55, - 56, - 57, - 58, - 59, - 60, - 61, - 62, - 63, - 64, - 65, - 66, - 67, - 68, - 69, - 70, - 71, - 72, - 73, - 74, - 75, - 76, - 77, - 78, - 79, - 80, - 81, - 82, - 83, - 84, - 85, - 86, - 87, - 88, - 89, - 90, - 91, - 92, - 93, - 94, - 95, - 96, - 97, - 98, - 99, - 100, - 101, - 102, - 103, - 104, - 105, - 106, - 107, - 108, - 109, - 110, - 111, - 112, - 113, - 114, - 115, - 116, - 117, - 118, - 119, - 120, - 121, - 122, - 123, - 124, - 125, - 126, - 127, - 128, - 129, - 130, - 131, - 132, - 133, - 134, - 135, - 136, - 137, - 138, - 139, - 140, - 141, - 142, - 143, - 144, - 145, - 146, - 147, - 148, - 149, - 150, - 151, - 152, - 153, - 154, - 155, - 156, - 157, - 158, - 159, - 160, - 161, - 162, - 163, - 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output, but the instruction says \"answer only with...\". I need to check if the final output should be just the JSON string or if I can include the reasoning text before it. The prompt says \"Reason for at least 80 words before the final answer. Then answer only with...\". This implies the structure: [Reasoning] [JSON].)\n * Constraint 4: \"If you use numeric JSON, use 1 for true and 0 for false.\" This likely refers to the JSON structure itself, not the text content.\n\n2. **Evaluate the Physics:**\n * Rayleigh scattering occurs when light scatters by particles much smaller than the wavelength of the light.\n * The sky appears blue because the atmosphere is mostly composed of nitrogen and oxygen molecules, which are much smaller than the wavelength of visible light.\n * This causes shorter wavelengths (blue/violet) to scatter more than longer wavelengths (red/orange).\n * Therefore, the sky appears blue.\n * The question asks if it is *primarily* because of Rayleigh scattering.\n * While the scattering is due to Rayleigh scattering, the *primary* reason for the blue color is the scattering of sunlight by the atmosphere.\n * So, the answer is True.\n\n3. **Drafting the Reasoning (80+ words):**\n * I need to explain the physics of Rayleigh scattering clearly.\n * Mention the wavelength dependence.\n * Mention the atmosphere composition.\n * Mention the scattering mechanism.\n * Mention the color perception.\n * Ensure the word count is sufficient.\n\n *Draft:*\n The sky appears blue due to a phenomenon known as Rayleigh scattering, which is a specific type of light scattering that occurs when sunlight passes through the Earth's atmosphere. This phenomenon is caused by the interaction between", - "gen_len": 512, - "pmass_per_fork": [ - 0.99151611328125, - 0.9918565154075623, - 0.9921203851699829, - 0.9911943674087524, - 0.9916978478431702, - 0.9917671084403992, - 0.9910955429077148, - 0.987957775592804, - 0.991197943687439, - 0.9910139441490173, - 0.9956984519958496, - 0.9968887567520142, - 0.9973775148391724, - 0.9975634217262268 - ], - "p_true_per_fork": [ - 0.2953567833178473, - 0.32155781005614525, - 0.3216239430695685, - 0.32184007163662276, - 0.32155985279177474, - 0.3217346428359578, - 0.3218442376511732, - 0.32211861450808243, - 0.3220167458610706, - 0.3217278932361741, - 0.29462006302646143, - 0.32120910123983126, - 0.34896015231975674, - 0.46914505453448546 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "0.5": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write a reason for at least 80 words before the final answer.\n * Constraint 2: Answer *only* with `{\"choice\": true}` or `{\"choice\": false}`.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This implies the final output should be strictly the JSON object, but the instruction says \"Then answer only with...\". Usually, this means the content inside the JSON block. However, looking at the structure \"Reason... Then answer only with...\", I need to ensure the reasoning is separate from the JSON, or the JSON is the final answer. The prompt says \"Then answer only with...\". I will write the reasoning first, then put the JSON at the end.)\n * Wait, re-reading: \"Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}.\"\n * This implies the structure: [Reasoning (>=80 words)] -> [JSON].\n * The final answer must be the JSON.\n\n2. **Evaluate the Physics:**\n * Does the sky appear blue? Yes.\n * Is it primarily Rayleigh scattering? Yes. Shorter wavelengths (blue/violet) are scattered more by molecules in the atmosphere.\n\n3. **Drafting the Reasoning (>=80 words):**\n * Need to explain Rayleigh scattering, the role of the atmosphere, the wavelength dependence, and why violet is excluded (human eye sensitivity).\n * Key points: Sunlight contains all colors. Molecules in air scatter shorter wavelengths (blue/violet) more efficiently than longer wavelengths (red). This causes the blue color.\n * Word count check:\n * \"Rayleigh scattering occurs when sunlight hits particles in the atmosphere...\"\n * \"The scattering mechanism depends on the wavelength of the light...\"\n * \"Blue light has a shorter wavelength...\"\n * \"This causes the sky to appear blue...\"\n * \"Violet is also scattered but less so...\"\n * \"Human eyes are more sensitive to blue...\"\n * \"Therefore, the", - "gen_len": 512, - "pmass_per_fork": [ - 0.9943859577178955, - 0.9951848983764648, - 0.995060920715332, - 0.9953609704971313, - 0.9959374666213989, - 0.9964074492454529, - 0.9961051940917969, - 0.9954240322113037, - 0.9967305660247803, - 0.9964964389801025, - 0.9987193942070007, - 0.9991017580032349, - 0.9992520809173584, - 0.9990634918212891 - ], - "p_true_per_fork": [ - 0.2696434307048544, - 0.26956182223728464, - 0.26966760401969514, - 0.2947071438822019, - 0.269409148970952, - 0.29453838256975623, - 0.2694368571897186, - 0.269489721351121, - 0.2694439775048538, - 0.2693842892959605, - 0.2453074565766509, - 0.2943835859198335, - 0.2943524405928385, - 0.40755845015110514 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "To determine if the sky is blue, one must consider the physics of light interaction with the atmosphere. While Rayleigh scattering is the dominant mechanism for this effect, it is not the sole cause. Other factors like the sun's angle, air molecules, and the specific wavelengths of light involved play a role.\n\nRayleigh scattering occurs when blue light is scattered by the smaller particles in the atmosphere, which is why the sky appears blue. However, the intensity of scattering depends on the wavelength, and the scattering is more efficient for shorter wavelengths (blue/violet). This means that while blue is scattered more, the sky's color is a combination of scattered light from all directions.\n\nThe primary reason for the blue color is indeed Rayleigh scattering, but it is not exclusively or solely due to it. The explanation requires sufficient detail to justify the claim without oversimplifying.\n\nThe reasoning should clearly state that while Rayleigh scattering is the key factor, other variables like the sun's angle and the specific nature of the scattering process ensure the observed color.\n\nTherefore, the statement is too absolute to be entirely true.\n\n```json\n{\n \"choice\": false\n}\n```<|im_end|>", - "gen_len": 239, - "pmass_per_fork": [ - 0.9999780654907227, - 0.9999819397926331, - 0.9999848008155823, - 0.9999849200248718, - 0.9999822378158569, - 0.9999861121177673, - 0.9999860525131226, - 0.9999832510948181, - 0.9999839067459106, - 0.9999737739562988, - 0.9999717473983765, - 0.9999706149101257, - NaN, - NaN - ], - "p_true_per_fork": [ - 0.006692859431183521, - 0.005220131790813298, - 0.005220130752794886, - 0.00591107342885865, - 0.005220131776870341, - 0.0052201308560845755, - 0.004609576980820069, - 0.0040701437341468, - 0.004609577876370184, - 0.005220131489199524, - 0.004070147889492173, - 0.005220132230021588, - NaN, - NaN - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "", - "" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n To determine whether the sky's blueness is fundamentally rooted in Rayleigh scattering, one must examine the physical mechanism behind this phenomenon. Rayleigh's theory specifically describes why visible colors like blue, red, or orange appear when light strikes the sky, or the secondary cause of the secondary color, is the scattering of light by the charged particles in the glass. This is a direct consequence of the energy transfer between the photon and the electron in the glass.\n\n The core of the argument lies in the distinction between the idealized model and the practical reality. While the idealized model correctly identifies that scattering is the primary factor, the implementation of this concept in the real world introduces significant complexity. The efficiency of scattering depends on factors such as the specific angle of incidence, the density of the medium, and the wavelength of the light. For instance, the scattering strength varies significantly between the blue and red hues, which could lead to a claim of absolute purity in the idealized model.\n\n Furthermore, while the idealized model provides the necessary foundation, the practical reality involves numerous variables beyond a simple binary distinction. This requires a deeper examination to ensure that the claim remains ungrounded.\n\n * `true`\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```", - "gen_len": 512, - "pmass_per_fork": [ - 0.999200701713562, - 0.9984449148178101, - 0.9982343912124634, - 0.9983088970184326, - 0.9981101751327515, - 0.9976013898849487, - 0.9975786209106445, - 0.9972823858261108, - 0.9950563907623291, - 0.9938532114028931, - 0.9873227477073669, - 0.9893345832824707, - 0.9675659537315369, - 0.9577990770339966 - ], - "p_true_per_fork": [ - 0.32085297336416324, - 0.6225092158732857, - 0.5312982550628911, - 0.5622360564108185, - 0.5312713676681092, - 0.43791868942135803, - 0.5312840151045101, - 0.500098765080875, - 0.5313947885908555, - 0.4381251821876091, - 0.798293437510975, - 0.9240913585932651, - 0.9147749045857464, - 0.8669438189769558 - ], - "argmax_per_fork": [ - "0", - "1", - "1", - "1", - "1", - "0", - "1", - "0", - "1", - "0", - "1", - "1", - "1", - "1" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "``ivelyly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`", - "gen_len": 512, - "pmass_per_fork": [ - 0.0021878008265048265, - 0.0021046900656074286, - 0.0019272014033049345, - 0.0019884887151420116, - 0.0017225102055817842, - 0.0016103688394650817, - 0.001444017980247736, - 0.0013235616497695446, - 0.0016260750126093626, - 0.0011801891960203648, - 0.0008886298164725304, - 0.0007515917532145977, - 0.0005168851930648088, - 0.0004989537410438061 - ], - "p_true_per_fork": [ - 0.8922201589981411, - 0.9106832456171888, - 0.9175128510494248, - 0.9221720822546884, - 0.9226311084690003, - 0.9339722378071028, - 0.9331581730395665, - 0.9362726432696452, - 0.953776922203697, - 0.9526554674214596, - 0.9541181185820137, - 0.9503973695826258, - 0.9427343798921496, - 0.9385437757418177 - ], - "argmax_per_fork": [ - "\u5411\u5176", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/results.csv deleted file mode 100644 index 9b7912b..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.0,0.0,0.0 -0.5,0.8000976790699599,0.31730812788009644,0.07830381393432617,1.750620722770691 -1.0,1.6001953581399198,1.019828200340271,0.3297921121120453,12.784242630004883 -2.0,3.2003907162798395,2.814893960952759,0.6640235185623169,17.570926666259766 -4.0,6.400781432559679,16.29169464111328,4.985756874084473,18.670639038085938 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/run.log deleted file mode 100644 index 3c94a60..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-05 23:56:19.080 | INFO | __main__:main:185 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-05 23:56:19.103 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-05 23:56:19.783 | INFO | __main__:main:200 - === calibrate === -2026-05-05 23:56:22.835 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -That's correct! The Eiffel Tower is located in **Paris**, France, and is one of the most famous landmarks in the world. It was completed in 1887 and is currently the tallest structure in the world.<|im_end|> -=== /CALIBRATE === -2026-05-05 23:56:54.163 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.017 p50=0.007 p90=0.041 p95=0.055 max=1.914 n=1221 -2026-05-05 23:57:29.301 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.055 p50=0.019 p90=0.148 p95=0.209 max=2.344 n=1315 -2026-05-05 23:57:57.367 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.292 p50=0.155 p90=0.746 p95=1.000 max=12.439 n=1033 -2026-05-05 23:58:50.936 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.566 p50=0.056 p90=1.886 p95=2.979 max=18.896 n=2048 -2026-05-05 23:59:18.756 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6002 mean=0.292 p50=0.155 p90=0.746 p95=1.000 max=12.439 n=1033 -2026-05-05 23:59:18.756 | INFO | __main__:main:207 - c_star = +1.6002 -2026-05-05 23:59:18.763 | INFO | __main__:main:221 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-05 23:59:18.768 | INFO | __main__:main:233 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-05 23:59:18.771 | INFO | __main__:main:255 - === eval alpha=0.0 c=+0.0000 === -2026-05-06 00:01:22.478 | INFO | __main__:main:353 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-06 00:01:22.506 | INFO | __main__:main:355 - t= 0 pmass=0.992 p_true=0.295 argmax='0' -2026-05-06 00:01:22.506 | INFO | __main__:main:355 - t= 1 pmass=0.992 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t= 2 pmass=0.992 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t= 3 pmass=0.991 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t= 5 pmass=0.992 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t= 8 pmass=0.992 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t= 13 pmass=0.991 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t= 23 pmass=0.988 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t= 38 pmass=0.991 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t= 64 pmass=0.991 p_true=0.322 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t=108 pmass=0.996 p_true=0.295 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t=181 pmass=0.997 p_true=0.321 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t=304 pmass=0.997 p_true=0.349 argmax='0' -2026-05-06 00:01:22.507 | INFO | __main__:main:355 - t=512 pmass=0.998 p_true=0.469 argmax='0' -2026-05-06 00:03:05.491 | INFO | __main__:main:255 - === eval alpha=0.5 c=+0.8001 === -2026-05-06 00:05:07.676 | INFO | __main__:main:353 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 0 pmass=0.994 p_true=0.270 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 1 pmass=0.995 p_true=0.270 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 2 pmass=0.995 p_true=0.270 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 3 pmass=0.995 p_true=0.295 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 5 pmass=0.996 p_true=0.269 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 8 pmass=0.996 p_true=0.295 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 13 pmass=0.996 p_true=0.269 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 23 pmass=0.995 p_true=0.269 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 38 pmass=0.997 p_true=0.269 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t= 64 pmass=0.996 p_true=0.269 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t=108 pmass=0.999 p_true=0.245 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t=181 pmass=0.999 p_true=0.294 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t=304 pmass=0.999 p_true=0.294 argmax='0' -2026-05-06 00:05:07.676 | INFO | __main__:main:355 - t=512 pmass=0.999 p_true=0.408 argmax='0' -2026-05-06 00:06:50.630 | INFO | __main__:main:255 - === eval alpha=1.0 c=+1.6002 === -2026-05-06 00:07:58.742 | INFO | __main__:main:353 - [debug] alpha=1.0 eval[0] gen_len=239 text[:120]='To determine if the sky is blue, one must consider the physics of light interaction with the atmosphere. While Rayleigh ' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 0 pmass=1.000 p_true=0.007 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 1 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 2 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 3 pmass=1.000 p_true=0.006 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 5 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 8 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 13 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 23 pmass=1.000 p_true=0.004 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 38 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t= 64 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t=108 pmass=1.000 p_true=0.004 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t=181 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t=304 pmass=nan p_true=nan argmax='' -2026-05-06 00:07:58.742 | INFO | __main__:main:355 - t=512 pmass=nan p_true=nan argmax='' -2026-05-06 00:08:59.806 | INFO | __main__:main:255 - === eval alpha=2.0 c=+3.2004 === -2026-05-06 00:10:54.936 | INFO | __main__:main:353 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]="\n\n\n\n To determine whether the sky's blueness is fundamentally rooted in Rayleigh scattering, one must examine" -2026-05-06 00:10:54.936 | INFO | __main__:main:355 - t= 0 pmass=0.999 p_true=0.321 argmax='0' -2026-05-06 00:10:54.936 | INFO | __main__:main:355 - t= 1 pmass=0.998 p_true=0.623 argmax='1' -2026-05-06 00:10:54.936 | INFO | __main__:main:355 - t= 2 pmass=0.998 p_true=0.531 argmax='1' -2026-05-06 00:10:54.936 | INFO | __main__:main:355 - t= 3 pmass=0.998 p_true=0.562 argmax='1' -2026-05-06 00:10:54.936 | INFO | __main__:main:355 - t= 5 pmass=0.998 p_true=0.531 argmax='1' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.438 argmax='0' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.531 argmax='1' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t= 23 pmass=0.997 p_true=0.500 argmax='0' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t= 38 pmass=0.995 p_true=0.531 argmax='1' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t= 64 pmass=0.994 p_true=0.438 argmax='0' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t=108 pmass=0.987 p_true=0.798 argmax='1' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t=181 pmass=0.989 p_true=0.924 argmax='1' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t=304 pmass=0.968 p_true=0.915 argmax='1' -2026-05-06 00:10:54.937 | INFO | __main__:main:355 - t=512 pmass=0.958 p_true=0.867 argmax='1' -2026-05-06 00:12:30.783 | INFO | __main__:main:255 - === eval alpha=4.0 c=+6.4008 === -2026-05-06 00:14:33.002 | INFO | __main__:main:353 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]='``ivelyly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 0 pmass=0.002 p_true=0.892 argmax='向其' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 1 pmass=0.002 p_true=0.911 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 2 pmass=0.002 p_true=0.918 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 3 pmass=0.002 p_true=0.922 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 5 pmass=0.002 p_true=0.923 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 8 pmass=0.002 p_true=0.934 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 13 pmass=0.001 p_true=0.933 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 23 pmass=0.001 p_true=0.936 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 38 pmass=0.002 p_true=0.954 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t= 64 pmass=0.001 p_true=0.953 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t=108 pmass=0.001 p_true=0.954 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t=181 pmass=0.001 p_true=0.950 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t=304 pmass=0.001 p_true=0.943 argmax='ily' -2026-05-06 00:14:33.002 | INFO | __main__:main:355 - t=512 pmass=0.000 p_true=0.939 argmax='ily' -2026-05-06 00:16:16.041 | INFO | __main__:main:406 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/trajectory.json deleted file mode 100644 index f1781bb..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s1_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - "fork_points_full": [ - 0, - 1, - 2, - 3, - 4, - 5, - 6, - 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write at least 80 words of reasoning before the final answer.\n * Constraint 2: Answer only with {\"choice\": true} or {\"choice\": false}.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This seems to be a formatting instruction for the JSON output, but the instruction says \"answer only with...\". I need to check if the final output should be just the JSON string or if I can include the reasoning text before it. The prompt says \"Reason for at least 80 words before the final answer. Then answer only with...\". This implies the structure: [Reasoning] [JSON].)\n * Constraint 4: \"If you use numeric JSON, use 1 for true and 0 for false.\" This likely refers to the JSON structure itself, not the text content.\n\n2. **Evaluate the Physics:**\n * Rayleigh scattering occurs when light scatters by particles much smaller than the wavelength of the light.\n * The sky appears blue because the atmosphere is mostly composed of nitrogen and oxygen molecules, which are much smaller than the wavelength of visible light.\n * This causes shorter wavelengths (blue/violet) to scatter more than longer wavelengths (red/orange).\n * Therefore, the sky appears blue.\n * The question asks if it is *primarily* because of Rayleigh scattering.\n * While the scattering is due to Rayleigh scattering, the *primary* reason for the blue color is the scattering of sunlight by the atmosphere.\n * So, the answer is True.\n\n3. **Drafting the Reasoning (80+ words):**\n * I need to explain the physics of Rayleigh scattering clearly.\n * Mention the wavelength dependence.\n * Mention the atmosphere composition.\n * Mention the scattering mechanism.\n * Mention the color perception.\n * Ensure the word count is sufficient.\n\n *Draft:*\n The sky appears blue due to a phenomenon known as Rayleigh scattering, which is a specific type of light scattering that occurs when sunlight passes through the Earth's atmosphere. 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Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scattering of sunlight?\n * Constraint 1: Write a reason for at least 80 words before the final answer.\n * Constraint 2: Answer *only* with `{\"choice\": true}` or `{\"choice\": false}`.\n * Constraint 3: If using numeric JSON, use 1 for true and 0 for false. (This implies the final output should be strictly the JSON object, but the instruction says \"Then answer only with...\". Usually, this means the content inside the JSON block. However, looking at the structure \"Reason... Then answer only with...\", I need to ensure the reasoning is separate from the JSON, or the JSON is the final answer. The prompt says \"Then answer only with...\". I will write the reasoning first, then put the JSON at the end.)\n * Wait, re-reading: \"Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}.\"\n * This implies the structure: [Reasoning (>=80 words)] -> [JSON].\n * The final answer must be the JSON.\n\n2. **Evaluate the Physics:**\n * Does the sky appear blue? Yes.\n * Is it primarily Rayleigh scattering? Yes. Shorter wavelengths (blue/violet) are scattered more by molecules in the atmosphere.\n\n3. **Drafting the Reasoning (>=80 words):**\n * Need to explain Rayleigh scattering, the role of the atmosphere, the wavelength dependence, and why violet is excluded (human eye sensitivity).\n * Key points: Sunlight contains all colors. Molecules in air scatter shorter wavelengths (blue/violet) more efficiently than longer wavelengths (red). This causes the blue color.\n * Word count check:\n * \"Rayleigh scattering occurs when sunlight hits particles in the atmosphere...\"\n * \"The scattering mechanism depends on the wavelength of the light...\"\n * \"Blue light has a shorter wavelength...\"\n * \"This causes the sky to appear blue...\"\n * \"Violet is also scattered but less so...\"\n * \"Human eyes are more sensitive to blue...\"\n * \"Therefore, the", - "gen_len": 512, - "pmass_per_fork": [ - 0.9943859577178955, - 0.9951848983764648, - 0.995060920715332, - 0.9953609704971313, - 0.9959374666213989, - 0.9964074492454529, - 0.9961051940917969, - 0.9954240322113037, - 0.9967305660247803, - 0.9964964389801025, - 0.9987193942070007, - 0.9991017580032349, - 0.9992520809173584, - 0.9990634918212891 - ], - "p_true_per_fork": [ - 0.2696434307048544, - 0.26956182223728464, - 0.26966760401969514, - 0.2947071438822019, - 0.269409148970952, - 0.29453838256975623, - 0.2694368571897186, - 0.269489721351121, - 0.2694439775048538, - 0.2693842892959605, - 0.2453074565766509, - 0.2943835859198335, - 0.2943524405928385, - 0.40755845015110514 - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" - ] - } - }, - "1.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "To determine if the sky is blue, one must consider the physics of light interaction with the atmosphere. While Rayleigh scattering is the dominant mechanism for this effect, it is not the sole cause. Other factors like the sun's angle, air molecules, and the specific wavelengths of light involved play a role.\n\nRayleigh scattering occurs when blue light is scattered by the smaller particles in the atmosphere, which is why the sky appears blue. However, the intensity of scattering depends on the wavelength, and the scattering is more efficient for shorter wavelengths (blue/violet). This means that while blue is scattered more, the sky's color is a combination of scattered light from all directions.\n\nThe primary reason for the blue color is indeed Rayleigh scattering, but it is not exclusively or solely due to it. The explanation requires sufficient detail to justify the claim without oversimplifying.\n\nThe reasoning should clearly state that while Rayleigh scattering is the key factor, other variables like the sun's angle and the specific nature of the scattering process ensure the observed color.\n\nTherefore, the statement is too absolute to be entirely true.\n\n```json\n{\n \"choice\": false\n}\n```<|im_end|>", - "gen_len": 239, - "pmass_per_fork": [ - 0.9999780654907227, - 0.9999819397926331, - 0.9999848008155823, - 0.9999849200248718, - 0.9999822378158569, - 0.9999861121177673, - 0.9999860525131226, - 0.9999832510948181, - 0.9999839067459106, - 0.9999737739562988, - 0.9999717473983765, - 0.9999706149101257, - NaN, - NaN - ], - "p_true_per_fork": [ - 0.006692859431183521, - 0.005220131790813298, - 0.005220130752794886, - 0.00591107342885865, - 0.005220131776870341, - 0.0052201308560845755, - 0.004609576980820069, - 0.0040701437341468, - 0.004609577876370184, - 0.005220131489199524, - 0.004070147889492173, - 0.005220132230021588, - NaN, - NaN - ], - "argmax_per_fork": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "", - "" - ] - } - }, - "2.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "\n\n\n\n To determine whether the sky's blueness is fundamentally rooted in Rayleigh scattering, one must examine the physical mechanism behind this phenomenon. Rayleigh's theory specifically describes why visible colors like blue, red, or orange appear when light strikes the sky, or the secondary cause of the secondary color, is the scattering of light by the charged particles in the glass. This is a direct consequence of the energy transfer between the photon and the electron in the glass.\n\n The core of the argument lies in the distinction between the idealized model and the practical reality. While the idealized model correctly identifies that scattering is the primary factor, the implementation of this concept in the real world introduces significant complexity. The efficiency of scattering depends on factors such as the specific angle of incidence, the density of the medium, and the wavelength of the light. For instance, the scattering strength varies significantly between the blue and red hues, which could lead to a claim of absolute purity in the idealized model.\n\n Furthermore, while the idealized model provides the necessary foundation, the practical reality involves numerous variables beyond a simple binary distinction. This requires a deeper examination to ensure that the claim remains ungrounded.\n\n * `true`\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```\n\n ```\n ```", - "gen_len": 512, - "pmass_per_fork": [ - 0.999200701713562, - 0.9984449148178101, - 0.9982343912124634, - 0.9983088970184326, - 0.9981101751327515, - 0.9976013898849487, - 0.9975786209106445, - 0.9972823858261108, - 0.9950563907623291, - 0.9938532114028931, - 0.9873227477073669, - 0.9893345832824707, - 0.9675659537315369, - 0.9577990770339966 - ], - "p_true_per_fork": [ - 0.32085297336416324, - 0.6225092158732857, - 0.5312982550628911, - 0.5622360564108185, - 0.5312713676681092, - 0.43791868942135803, - 0.5312840151045101, - 0.500098765080875, - 0.5313947885908555, - 0.4381251821876091, - 0.798293437510975, - 0.9240913585932651, - 0.9147749045857464, - 0.8669438189769558 - ], - "argmax_per_fork": [ - "0", - "1", - "1", - "1", - "1", - "0", - "1", - "0", - "1", - "0", - "1", - "1", - "1", - "1" - ] - } - }, - "4.0": { - "eval": { - "prompt": "<|im_start|>user\nIs the sky blue primarily because of Rayleigh scattering of sunlight?\n\nReason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.<|im_end|>\n<|im_start|>assistant\n\n\n\n\n\n", - "gen_text": "``ivelyly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`", - "gen_len": 512, - "pmass_per_fork": [ - 0.0021878008265048265, - 0.0021046900656074286, - 0.0019272014033049345, - 0.0019884887151420116, - 0.0017225102055817842, - 0.0016103688394650817, - 0.001444017980247736, - 0.0013235616497695446, - 0.0016260750126093626, - 0.0011801891960203648, - 0.0008886298164725304, - 0.0007515917532145977, - 0.0005168851930648088, - 0.0004989537410438061 - ], - "p_true_per_fork": [ - 0.8922201589981411, - 0.9106832456171888, - 0.9175128510494248, - 0.9221720822546884, - 0.9226311084690003, - 0.9339722378071028, - 0.9331581730395665, - 0.9362726432696452, - 0.953776922203697, - 0.9526554674214596, - 0.9541181185820137, - 0.9503973695826258, - 0.9427343798921496, - 0.9385437757418177 - ], - "argmax_per_fork": [ - "\u5411\u5176", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily", - "ily" - ] - } - } - }, - "prefill": "\n{\"choice\": ", - "schema": "Reason for at least 80 words before the final answer. Then answer only with {\"choice\": true} or {\"choice\": false}. If you use numeric JSON, use 1 for true and 0 for false.", - "questions": [ - "Is the Eiffel Tower located in Paris, France?", - "Do dolphins breathe air through lungs rather than gills?", - "Was Albert Einstein born in Germany?", - "Can humans naturally see ultraviolet light?", - "Did the Roman Empire fall in 476 CE?", - "Are tomatoes botanically classified as fruits?", - "Is the speed of light approximately 300,000 km/s?", - "Do octopuses have three hearts?" - ], - "computed": true -} \ No newline at end of file diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/results.csv b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/results.csv deleted file mode 100644 index 9b7912b..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/results.csv +++ /dev/null @@ -1,6 +0,0 @@ -alpha,coeff,kl_p95,kl_mean,kl_max -0.0,0.0,0.0,0.0,0.0 -0.5,0.8000976790699599,0.31730812788009644,0.07830381393432617,1.750620722770691 -1.0,1.6001953581399198,1.019828200340271,0.3297921121120453,12.784242630004883 -2.0,3.2003907162798395,2.814893960952759,0.6640235185623169,17.570926666259766 -4.0,6.400781432559679,16.29169464111328,4.985756874084473,18.670639038085938 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/run.log b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/run.log deleted file mode 100644 index 1cf883b..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/run.log +++ /dev/null @@ -1,138 +0,0 @@ -2026-05-06 00:16:28.024 | INFO | __main__:main:185 - model=Qwen/Qwen3.5-0.8B n_layers=24 target_layer=14 -2026-05-06 00:16:28.046 | INFO | iso_kl_figure.attach:_log_extract_demo:156 - EXPECT: POS and NEG share user_msg + suffix; differ only in system persona; chat template applied; special tokens (e.g. <|im_start|>) visible. -=== EXTRACT demo trace === -POS[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -Sure, here is the answer:<|im_end|> - ---- -NEG[0]: -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -I cannot help with that.<|im_end|> - -=== /EXTRACT === -2026-05-06 00:16:28.706 | INFO | __main__:main:200 - === calibrate === -2026-05-06 00:16:31.785 | INFO | iso_kl_figure.calibrate:measure_kl:104 - EXPECT: same prompt under c=0 vs c=+0.4000; both coherent; steered should differ from base but not collapse. - -=== CALIBRATE demo trace (T=512) === ---- BASE (c=0) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -The Eiffel Tower is indeed located in **Paris**, France. It stands prominently on the Champ de Mars, overlooking the Seine River and the city's skyline. The tower, designed by Gustave Eiffel, was completed in 1889 and is one of the most recognizable landmarks in the world.<|im_end|> - ---- STEER (c=+0.4000) --- -<|im_start|>user -The eiffel tower is in Paris.<|im_end|> -<|im_start|>assistant - - - - -That's correct! The Eiffel Tower is located in **Paris**, France, and is one of the most famous landmarks in the world. It was completed in 1887 and is currently the tallest structure in the world.<|im_end|> -=== /CALIBRATE === -2026-05-06 00:17:03.567 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.4000 mean=0.017 p50=0.007 p90=0.041 p95=0.055 max=1.914 n=1221 -2026-05-06 00:17:38.886 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+0.8000 mean=0.055 p50=0.019 p90=0.148 p95=0.209 max=2.344 n=1315 -2026-05-06 00:18:06.995 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6000 mean=0.292 p50=0.155 p90=0.746 p95=1.000 max=12.439 n=1033 -2026-05-06 00:19:01.151 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+3.2000 mean=0.566 p50=0.056 p90=1.886 p95=2.979 max=18.896 n=2048 -2026-05-06 00:19:29.023 | INFO | iso_kl_figure.calibrate:eval_at:183 - c=+1.6002 mean=0.292 p50=0.155 p90=0.746 p95=1.000 max=12.439 n=1033 -2026-05-06 00:19:29.023 | INFO | __main__:main:207 - c_star = +1.6002 -2026-05-06 00:19:29.029 | INFO | __main__:main:221 - choice ids: a(true)=[16, 804, 1802, 2434, 2912] b(false)=[15, 867, 3439, 3721, 3913] -2026-05-06 00:19:29.035 | INFO | __main__:main:233 - fork_points (n=14): [0, 1, 2, 3, 5, 8, 13, 23, 38, 64, 108, 181, 304, 512] -2026-05-06 00:19:29.038 | INFO | __main__:main:255 - === eval alpha=0.0 c=+0.0000 === -2026-05-06 00:21:33.372 | INFO | __main__:main:353 - [debug] alpha=0.0 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-06 00:21:33.372 | INFO | __main__:main:355 - t= 0 pmass=0.992 p_true=0.295 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 1 pmass=0.992 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 2 pmass=0.992 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 3 pmass=0.991 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 5 pmass=0.992 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 8 pmass=0.992 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 13 pmass=0.991 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 23 pmass=0.988 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 38 pmass=0.991 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t= 64 pmass=0.991 p_true=0.322 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t=108 pmass=0.996 p_true=0.295 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t=181 pmass=0.997 p_true=0.321 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t=304 pmass=0.997 p_true=0.349 argmax='0' -2026-05-06 00:21:33.373 | INFO | __main__:main:355 - t=512 pmass=0.998 p_true=0.469 argmax='0' -2026-05-06 00:23:19.034 | INFO | __main__:main:255 - === eval alpha=0.5 c=+0.8001 === -2026-05-06 00:25:23.581 | INFO | __main__:main:353 - [debug] alpha=0.5 eval[0] gen_len=512 text[:120]='Thinking Process:\n\n1. **Analyze the Request:**\n * Question: Is the sky blue primarily because of Rayleigh scatteri' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 0 pmass=0.994 p_true=0.270 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 1 pmass=0.995 p_true=0.270 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 2 pmass=0.995 p_true=0.270 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 3 pmass=0.995 p_true=0.295 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 5 pmass=0.996 p_true=0.269 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 8 pmass=0.996 p_true=0.295 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 13 pmass=0.996 p_true=0.269 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 23 pmass=0.995 p_true=0.269 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 38 pmass=0.997 p_true=0.269 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t= 64 pmass=0.996 p_true=0.269 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t=108 pmass=0.999 p_true=0.245 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t=181 pmass=0.999 p_true=0.294 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t=304 pmass=0.999 p_true=0.294 argmax='0' -2026-05-06 00:25:23.581 | INFO | __main__:main:355 - t=512 pmass=0.999 p_true=0.408 argmax='0' -2026-05-06 00:27:09.025 | INFO | __main__:main:255 - === eval alpha=1.0 c=+1.6002 === -2026-05-06 00:28:17.915 | INFO | __main__:main:353 - [debug] alpha=1.0 eval[0] gen_len=239 text[:120]='To determine if the sky is blue, one must consider the physics of light interaction with the atmosphere. While Rayleigh ' -2026-05-06 00:28:17.915 | INFO | __main__:main:355 - t= 0 pmass=1.000 p_true=0.007 argmax='0' -2026-05-06 00:28:17.915 | INFO | __main__:main:355 - t= 1 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:28:17.915 | INFO | __main__:main:355 - t= 2 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:28:17.915 | INFO | __main__:main:355 - t= 3 pmass=1.000 p_true=0.006 argmax='0' -2026-05-06 00:28:17.915 | INFO | __main__:main:355 - t= 5 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:28:17.915 | INFO | __main__:main:355 - t= 8 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:28:17.916 | INFO | __main__:main:355 - t= 13 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:28:17.916 | INFO | __main__:main:355 - t= 23 pmass=1.000 p_true=0.004 argmax='0' -2026-05-06 00:28:17.916 | INFO | __main__:main:355 - t= 38 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:28:17.916 | INFO | __main__:main:355 - t= 64 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:28:17.916 | INFO | __main__:main:355 - t=108 pmass=1.000 p_true=0.004 argmax='0' -2026-05-06 00:28:17.916 | INFO | __main__:main:355 - t=181 pmass=1.000 p_true=0.005 argmax='0' -2026-05-06 00:28:17.916 | INFO | __main__:main:355 - t=304 pmass=nan p_true=nan argmax='' -2026-05-06 00:28:17.916 | INFO | __main__:main:355 - t=512 pmass=nan p_true=nan argmax='' -2026-05-06 00:29:20.742 | INFO | __main__:main:255 - === eval alpha=2.0 c=+3.2004 === -2026-05-06 00:31:19.477 | INFO | __main__:main:353 - [debug] alpha=2.0 eval[0] gen_len=512 text[:120]="\n\n\n\n To determine whether the sky's blueness is fundamentally rooted in Rayleigh scattering, one must examine" -2026-05-06 00:31:19.477 | INFO | __main__:main:355 - t= 0 pmass=0.999 p_true=0.321 argmax='0' -2026-05-06 00:31:19.477 | INFO | __main__:main:355 - t= 1 pmass=0.998 p_true=0.623 argmax='1' -2026-05-06 00:31:19.477 | INFO | __main__:main:355 - t= 2 pmass=0.998 p_true=0.531 argmax='1' -2026-05-06 00:31:19.477 | INFO | __main__:main:355 - t= 3 pmass=0.998 p_true=0.562 argmax='1' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t= 5 pmass=0.998 p_true=0.531 argmax='1' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t= 8 pmass=0.998 p_true=0.438 argmax='0' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t= 13 pmass=0.998 p_true=0.531 argmax='1' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t= 23 pmass=0.997 p_true=0.500 argmax='0' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t= 38 pmass=0.995 p_true=0.531 argmax='1' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t= 64 pmass=0.994 p_true=0.438 argmax='0' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t=108 pmass=0.987 p_true=0.798 argmax='1' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t=181 pmass=0.989 p_true=0.924 argmax='1' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t=304 pmass=0.968 p_true=0.915 argmax='1' -2026-05-06 00:31:19.478 | INFO | __main__:main:355 - t=512 pmass=0.958 p_true=0.867 argmax='1' -2026-05-06 00:32:57.500 | INFO | __main__:main:255 - === eval alpha=4.0 c=+6.4008 === -2026-05-06 00:35:02.640 | INFO | __main__:main:353 - [debug] alpha=4.0 eval[0] gen_len=512 text[:120]='``ivelyly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly`ly' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 0 pmass=0.002 p_true=0.892 argmax='向其' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 1 pmass=0.002 p_true=0.911 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 2 pmass=0.002 p_true=0.918 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 3 pmass=0.002 p_true=0.922 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 5 pmass=0.002 p_true=0.923 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 8 pmass=0.002 p_true=0.934 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 13 pmass=0.001 p_true=0.933 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 23 pmass=0.001 p_true=0.936 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 38 pmass=0.002 p_true=0.954 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t= 64 pmass=0.001 p_true=0.953 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t=108 pmass=0.001 p_true=0.954 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t=181 pmass=0.001 p_true=0.950 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t=304 pmass=0.001 p_true=0.943 argmax='ily' -2026-05-06 00:35:02.640 | INFO | __main__:main:355 - t=512 pmass=0.000 p_true=0.939 argmax='ily' -2026-05-06 00:36:48.191 | INFO | __main__:main:406 - DONE -> outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512 diff --git a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/trajectory.json b/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/trajectory.json deleted file mode 100644 index f1781bb..0000000 --- a/outputs_qwen35_w512_v3/Qwen3.5-0.8B_pca_s2_w512/trajectory.json +++ /dev/null @@ -1,23660 +0,0 @@ -{ - "fork_points_full": [ - 0, - 1, - 2, - 3, - 4, - 5, - 6, - 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1.263371229171753, - 1.496307134628296, - 1.419203281402588, - 1.5007983446121216, - 1.5111770629882812 - ] - ] - } -} \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 983fa5f..c49dc5a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,6 +21,7 @@ plot = ["matplotlib>=3.8", "polars>=1.0"] all = [ "pytest", "tabulate", "beartype>=0.18", "accelerate>=1.6", "transformers>=4.51", + "bitsandbytes>=0.46.1", "matplotlib>=3.8", "polars>=1.0", "tyro>=0.9", ] diff --git a/scripts/aggregate.py b/scripts/aggregate.py index 96160e3..fa27d7f 100644 --- a/scripts/aggregate.py +++ b/scripts/aggregate.py @@ -27,12 +27,12 @@ Usage: # smoothed band: python scripts/aggregate.py --runs_root outputs --out figs/ # raw spaghetti: - python scripts/aggregate.py --runs_root outputs_qwen05_w512 \ - --out figs_qwen05_pretty_raw --spaghetti --roll 1 \ + python scripts/aggregate.py --runs_root outputs/qwen05_w512 \ + --out figs/qwen05_pretty_raw --spaghetti --roll 1 \ --alphas 0.5 1.0 2.0 4.0 # KL spaghetti coloured by paired pmass_eval: - python scripts/aggregate.py --runs_root outputs_qwen05_w512 \ - --out figs_qwen05_color --spaghetti --color-by-pmass + python scripts/aggregate.py --runs_root outputs/qwen05_w512 \ + --out figs/qwen05_color --spaghetti --color-by-pmass """ from __future__ import annotations import json @@ -116,6 +116,12 @@ def _draw_kl_panel(ax, K: np.ndarray, a: Args, P: np.ndarray | None = None) -> N """ if not K.size: return + finite_cols = np.where(np.isfinite(K).any(axis=0))[0] + if finite_cols.size == 0: + return + K = K[:, : finite_cols[-1] + 1] + if P is not None and P.size: + P = P[:, : K.shape[1]] xs = np.arange(K.shape[1]) if a.spaghetti: # optional per-line smoothing @@ -165,7 +171,7 @@ def make_kl_figure(cells: list[dict], a: Args, out_path: Path) -> None: import matplotlib.pyplot as plt fig, axes = plt.subplots(1, len(a.alphas), figsize=(4.0 * len(a.alphas), 3.2), - sharex=True, sharey=True, squeeze=False) + sharex=True, sharey=True, squeeze=False, constrained_layout=True) label = a.model_contains or "all models" mode = "individual trajectories (red=ever crossed KL=1)" if a.spaghetti \ else f"p50 + p10..p90 band, smoothed rolling-{a.roll}" @@ -175,15 +181,35 @@ def make_kl_figure(cells: list[dict], a: Args, out_path: Path) -> None: fontsize=10, ) + x_stop = 1 + y_data: list[float] = [] + for alpha in a.alphas: + K = _pool_kl(cells, alpha, T=a.window) + finite_cols = np.where(np.isfinite(K).any(axis=0))[0] + if finite_cols.size: + x_stop = max(x_stop, int(finite_cols[-1] + 1)) + vals = K[:, : finite_cols[-1] + 1] + y_data.extend([float(x) for x in vals.ravel() if np.isfinite(x) and x >= 0.0]) + x_max = float(min(a.window, max(20, int(x_stop * 1.05)))) + if y_data: + y_max = float(min(a.kl_ymax, max(1e-3, np.nanpercentile(np.asarray(y_data), 99) * 1.4))) + else: + y_max = 1.1 + for j, alpha in enumerate(a.alphas): ax = axes[0, j] K = _pool_kl(cells, alpha, T=a.window) Pe = _pool_pmass_eval(cells, alpha, _first_fork(cells), T=a.window) if a.color_by_pmass else None _draw_kl_panel(ax, K, a, P=Pe) - ax.axhline(1.0, color="k", lw=1.0) + if y_max >= 1.0: + ax.axhline(1.0, color="k", lw=1.0) + else: + ax.text(0.98, 0.92, "KL=1 off-scale", transform=ax.transAxes, + ha="right", va="top", fontsize=8, color="0.25") ax.axvline(20, color="k", ls=":", lw=0.8) ax.set_title(rf"$\alpha = {alpha}$ (n={K.shape[0]} traj)") - ax.set_ylim(0, a.kl_ymax) + ax.set_xlim(0, x_max) + ax.set_ylim(0, y_max) ax.set_xlabel("token") if j == 0: ax.set_ylabel("KL(steered || base) [nats]") @@ -193,10 +219,9 @@ def make_kl_figure(cells: list[dict], a: Args, out_path: Path) -> None: from matplotlib.colors import LinearSegmentedColormap, Normalize cmap = LinearSegmentedColormap.from_list("alive", ["#c0392b", "#f1c40f", "#27ae60"]) sm = ScalarMappable(norm=Normalize(0, 1), cmap=cmap); sm.set_array([]) - cbar = fig.colorbar(sm, ax=axes[0, :].tolist(), location="right", shrink=0.8, pad=0.02) + cbar = fig.colorbar(sm, ax=axes[0, :].tolist(), location="right", shrink=0.75, pad=0.01, fraction=0.015) cbar.set_label("pmass (0=dead, 1=alive)") - fig.tight_layout(rect=(0, 0, 1, 0.86)) fig.savefig(out_path, dpi=160, bbox_inches="tight") logger.info(f"KL-only figure -> {out_path}") diff --git a/scripts/run_cell.py b/scripts/run_cell.py index 76f1ab4..246d704 100644 --- a/scripts/run_cell.py +++ b/scripts/run_cell.py @@ -63,6 +63,8 @@ from iso_kl_figure import ( train, calibrate_iso_kl, measure_kl, ) from iso_kl_figure.branch_pmass import branch_pmass, collect_choice_token_ids +from iso_kl_figure.calibrate import _eos_token_ids +from iso_kl_figure.target import _get_blocks CALIB_PROMPTS = [ @@ -85,6 +87,22 @@ EVAL_PROMPTS = [ "Was the Eiffel Tower originally built as the entrance arch for the 1889 World's Fair?", "Can plate tectonic collisions form mountain ranges over geological time?", "Is a circular import one possible cause of a Python script crashing on import?", + "Does water boil at a lower temperature at higher altitudes due to reduced atmospheric pressure?", + "Is the mitochondrion commonly described as the powerhouse of the eukaryotic cell?", + "Did the Apollo 11 mission land humans on the Moon in July 1969?", + "Is Mount Everest the tallest mountain on Earth measured from base to peak?", + "Can a closure in JavaScript capture variables from its enclosing lexical scope?", + "Does the human body have exactly 206 bones in adulthood?", + "Is sound generally faster in solids than in air at the same temperature?", + "Was the Great Wall of China built primarily as a single continuous wall in one dynasty?", + "Does relativity predict that time dilates for an observer moving at relativistic speeds?", + "Is DNA replication semi-conservative, with each daughter molecule keeping one parent strand?", + "Did the Roman Empire formally split into Western and Eastern halves in the 4th century CE?", + "Is gradient descent guaranteed to find the global minimum of an arbitrary non-convex loss?", + "Does the moon always show the same face to Earth because of tidal locking?", + "Was Shakespeare a contemporary of Queen Elizabeth I of England?", + "Is the Pacific Ocean larger in surface area than the Atlantic Ocean?", + "Does a transformer architecture rely on self-attention rather than recurrence for sequence modeling?", ] # pmass diagnostic prompts share the same schema as EVAL above. @@ -151,16 +169,31 @@ def _set_seed(s: int): torch.cuda.manual_seed_all(s) +def _render_chat(tok, msgs: list[dict[str, str]], add_generation_prompt: bool) -> str: + if tok.chat_template is None: + rendered = [] + for msg in msgs: + role = msg["role"] + content = msg["content"] + if role == "user": + rendered.append(f"User: {content}\n") + elif role == "assistant": + rendered.append(f"Assistant: {content}") + else: + raise ValueError(f"plain prompt renderer does not support role={role!r}") + if add_generation_prompt: + rendered.append("Assistant: ") + return "".join(rendered) + return tok.apply_chat_template(msgs, tokenize=False, add_generation_prompt=add_generation_prompt) + + def _build_guided_prompt(tok, user_text: str, schema_hint: str = _SCHEMA) -> str: """Match tinymfv/guided.py: chat template + '\\n' suffix so the model is in thinking mode at every fork point. branch_pmass detects this and splices '\\nI should answer now.{prefill}' before scoring.""" full_user = f"{user_text}\n\n{schema_hint}" if schema_hint else user_text msgs = [{"role": "user", "content": full_user}] - try: - p = tok.apply_chat_template(msgs, tokenize=False, add_generation_prompt=True) - except TypeError: - p = tok.apply_chat_template(msgs, tokenize=False) + p = _render_chat(tok, msgs, add_generation_prompt=True) return p + "\n" @@ -177,23 +210,26 @@ def main(a: Args): tok = AutoTokenizer.from_pretrained(a.model) if tok.pad_token_id is None: tok.pad_token_id = tok.eos_token_id - model = AutoModelForCausalLM.from_pretrained(a.model, torch_dtype=dtype).to(a.device) + model_kwargs = {"torch_dtype": dtype} + if "bnb-4bit" in a.model.lower(): + model_kwargs["device_map"] = {"": a.device} + model = AutoModelForCausalLM.from_pretrained(a.model, **model_kwargs) + else: + model = AutoModelForCausalLM.from_pretrained(a.model, **model_kwargs).to(a.device) model.eval() - n_layers = model.config.num_hidden_layers + n_layers = len(_get_blocks(model)) layer = int(a.layer_frac * n_layers) logger.info(f"model={a.model} n_layers={n_layers} target_layer={layer}") cfg_cls = METHOD_MAP[a.method] cfg = cfg_cls(coeff=1.0, layers=(layer,)) - pos = [tok.apply_chat_template([{"role": "user", "content": u}, - {"role": "assistant", "content": p}], - tokenize=False) + pos = [_render_chat(tok, [{"role": "user", "content": u}, + {"role": "assistant", "content": p}], add_generation_prompt=False) for u, (p, _) in zip(CALIB_PROMPTS, POS_NEG)] - neg = [tok.apply_chat_template([{"role": "user", "content": u}, - {"role": "assistant", "content": n}], - tokenize=False) + neg = [_render_chat(tok, [{"role": "user", "content": u}, + {"role": "assistant", "content": n}], add_generation_prompt=False) for u, (_, n) in zip(CALIB_PROMPTS, POS_NEG)] v = train(model, tok, pos, neg, cfg, batch_size=4, max_length=128) @@ -242,6 +278,37 @@ def main(a: Args): gen_lens_qa: dict[str, list] = {} # T per (alpha, qa-prompt) -- right-censoring info gen_lens_eval: dict[str, list] = {} # T per (alpha, eval-prompt) debug_first: dict[str, dict] = {} # first prompt per alpha: gen_text + top-5 at each fork + + def write_eval_outputs() -> None: + (out_dir / "trajectory.json").write_text(json.dumps({ + "fork_points_full": list(range(a.window)), + "per_t_p95_kl": trajectory, + "per_prompt_per_t_kl": per_prompt_traj, + }, indent=2)) + (out_dir / "pmass.json").write_text(json.dumps({ + "fork_points": fork_points, + "pmass": pmass_all, + "pmass_eval": pmass_eval_all, + "p_true": p_true_all, + "argmax_str": argmax_all, + "was_thinking": thinking_all, + "answer_label": answer_label_all, + "gen_lens_qa": gen_lens_qa, + "gen_lens_eval": gen_lens_eval, + "debug_first": debug_first, + "prefill": PREFILL_STR, + "schema": _SCHEMA, + "questions": _QUESTIONS, + "computed": a.compute_pmass, + "completed_alphas": list(trajectory.keys()), + }, indent=2)) + import csv + with open(out_dir / "results.csv", "w", newline="") as f: + w = csv.DictWriter(f, fieldnames=["alpha", "coeff", "kl_p95", "kl_mean", "kl_max"]) + w.writeheader() + for r in rows: + w.writerow(r) + # Pre-build guided EVAL ids ONCE so measure_kl and pmass_eval roll out the # same prompt -- otherwise spaghetti coloring (KL trajectory colored by # pmass) is meaningless because the rollouts diverge. @@ -272,7 +339,7 @@ def main(a: Args): gen_out = model.generate( ids.unsqueeze(0).to(a.device), max_new_tokens=a.window, - pad_token_id=pad, eos_token_id=tok.eos_token_id, + pad_token_id=pad, eos_token_id=_eos_token_ids(tok), do_sample=False, use_cache=True, return_dict_in_generate=True, @@ -329,7 +396,7 @@ def main(a: Args): gen_out = model.generate( ids.unsqueeze(0).to(a.device), max_new_tokens=a.window, - pad_token_id=pad, eos_token_id=tok.eos_token_id, + pad_token_id=pad, eos_token_id=_eos_token_ids(tok), do_sample=False, use_cache=True, return_dict_in_generate=True, @@ -358,40 +425,13 @@ def main(a: Args): # SHOULD: at alpha=1, mean(pmass at t=0) > 0.5 (model still respects schema). # ELSE: prefill string broken or chat template off. if a.compute_pmass: - try: - import numpy as _np - t0 = _np.array([row[0] for row in pm_for_alpha]) - logger.info(f" alpha={alpha} pmass@t=0: mean={t0.mean():.3f} min={t0.min():.3f} max={t0.max():.3f}") - except Exception: - pass + import numpy as _np + pmass_rows = pm_eval_for_alpha if a.skip_pmass_qa else pm_for_alpha + t0 = _np.array([row[0] for row in pmass_rows]) + logger.info(f" alpha={alpha} pmass@t=0: mean={t0.mean():.3f} min={t0.min():.3f} max={t0.max():.3f}") + write_eval_outputs() - (out_dir / "trajectory.json").write_text(json.dumps({ - "fork_points_full": list(range(a.window)), - "per_t_p95_kl": trajectory, - "per_prompt_per_t_kl": per_prompt_traj, - }, indent=2)) - (out_dir / "pmass.json").write_text(json.dumps({ - "fork_points": fork_points, - "pmass": pmass_all, - "pmass_eval": pmass_eval_all, - "p_true": p_true_all, - "argmax_str": argmax_all, - "was_thinking": thinking_all, - "answer_label": answer_label_all, - "gen_lens_qa": gen_lens_qa, # T per (alpha, qa-prompt) for right-censoring - "gen_lens_eval": gen_lens_eval, # T per (alpha, eval-prompt) for right-censoring - "debug_first": debug_first, # first prompt per alpha: gen_text + per-fork pmass/argmax - "prefill": PREFILL_STR, - "schema": _SCHEMA, - "questions": _QUESTIONS, - "computed": a.compute_pmass, - }, indent=2)) - import csv - with open(out_dir / "results.csv", "w", newline="") as f: - w = csv.DictWriter(f, fieldnames=["alpha", "coeff", "kl_p95", "kl_mean", "kl_max"]) - w.writeheader() - for r in rows: - w.writerow(r) + write_eval_outputs() if a.render_figs: repo_root = Path(__file__).resolve().parents[1] cmd = [ diff --git a/scripts/spaghetti_kl_alive.py b/scripts/spaghetti_kl_alive.py index 0364f40..1618532 100644 --- a/scripts/spaghetti_kl_alive.py +++ b/scripts/spaghetti_kl_alive.py @@ -16,8 +16,8 @@ that KL budget. Red lines => model collapsed even though KL stayed in budget Usage: python scripts/spaghetti_kl_alive.py \ - --runs-root outputs_qwen35_w512_v3 \ - --out figs_qwen35_w512_kl_alive \ + --runs-root outputs/qwen35_w512_v3 \ + --out figs/qwen35_w512_kl_alive \ --window 512 \ --alphas 0.0 0.25 0.5 0.75 1.0 1.5 2.0 4.0 \ --threshold 0.8 \ @@ -48,14 +48,14 @@ except Exception: @dataclass class Args: - runs_root: str = "outputs_qwen35_w512_v3" - out: str = "figs_qwen35_w512_kl_alive" + runs_root: str = "outputs/qwen35_w512_v3" + out: str = "figs/qwen35_w512_kl_alive" window: int = 512 alphas: tuple[str, ...] = ("0.0", "0.25", "0.5", "0.75", "1.0", "1.5", "2.0", "4.0") threshold: float = 0.8 # pmass < threshold = dead metric: str = "pmass_eval" # 'pmass_eval' is paired with KL prompts model_contains: str = "Qwen3.5-0.8B" - kl_log: bool = True + kl_log: bool = False roll: int = 11 # smooth KL a bit so the spaghetti is readable @@ -111,6 +111,21 @@ def _rolling_mean(x: np.ndarray, w: int) -> np.ndarray: return np.convolve(xp, kernel, mode="valid")[: len(x)] +def _panel_xmax(max_gen_len: int, window: int) -> float: + if max_gen_len <= 0: + return float(window) + return float(min(window, max(20, int(max_gen_len * 1.05)))) + + +def _kl_ymax(values: list[float]) -> float: + if not values: + return 1.1 + finite = np.asarray([v for v in values if np.isfinite(v) and v >= 0.0], dtype=float) + if finite.size == 0: + return 1.1 + return float(max(1e-3, np.nanpercentile(finite, 99) * 1.4)) + + def main(a: Args): root = Path(a.runs_root) out = Path(a.out); out.mkdir(parents=True, exist_ok=True) @@ -120,7 +135,7 @@ def main(a: Args): n_panels = len(a.alphas) fig, axes = plt.subplots(1, n_panels, figsize=(3.0 * n_panels, 3.4), - sharey=True, squeeze=False) + sharey=False, squeeze=False) color_alive = to_rgba("#1a9850", 0.65) # green, translucent so overlap stays readable color_dead = to_rgba("#d7191c", 0.55) # stronger red so all-dead panels are visible @@ -138,10 +153,14 @@ def main(a: Args): alive_segments = [] dead_colors = [] alive_colors = [] + max_gen_len = 0 + visible_kls: list[float] = [] # build all dead segments first, then alive segments on top for kl, pmv, fork, gl in all_trajs: T = min(len(kl), gl) + max_gen_len = max(max_gen_len, T) kl = _rolling_mean(kl[:T], a.roll) + visible_kls.extend([float(x) for x in kl if np.isfinite(x)]) median_rows.append(np.pad(kl, (0, max(0, a.window - T)), constant_values=np.nan)[: a.window]) alive = alive_mask_for_t(pmv, fork, T, a.threshold, gl) xs = np.arange(T) @@ -166,21 +185,29 @@ def main(a: Args): if alive_segments: ax.add_collection(LineCollection(alive_segments, colors=alive_colors, linewidths=0.9, zorder=2)) if median_rows: - med = np.nanmedian(np.asarray(median_rows), axis=0) - med_x = np.arange(len(med)) - if np.nanmax(np.abs(med)) < 1e-6: - med = med + 1e-4 - ax.plot(med_x, med, color="black", lw=1.3, alpha=0.9, zorder=4) + mat = np.asarray(median_rows) + finite_cols = np.where(np.isfinite(mat).any(axis=0))[0] + if finite_cols.size: + med = np.nanmedian(mat[:, : finite_cols[-1] + 1], axis=0) + med_x = np.arange(len(med)) + if np.nanmax(np.abs(med)) < 1e-6: + med = med + 1e-4 + ax.plot(med_x, med, color="black", lw=1.3, alpha=0.9, zorder=4) - ax.axhline(1.0, color="black", lw=0.7, ls=":", label="KL=1 calib target") + y_hi = _kl_ymax(visible_kls) + if y_hi >= 1.0: + ax.axhline(1.0, color="black", lw=0.7, ls=":", label="KL=1 calib target") + else: + ax.text(0.98, 0.92, "KL=1 off-scale", transform=ax.transAxes, + ha="right", va="top", fontsize=7, color="0.25") ax.set_title(rf"$\alpha={alpha}$ n={n} died={n_died} cens={n_censored}") ax.set_xlabel("token t") if j == 0: ax.set_ylabel("per-token KL") if a.kl_log: ax.set_yscale("symlog", linthresh=0.1) - ax.set_xlim(-5, a.window + 5) - ax.autoscale_view() + ax.set_xlim(-1, _panel_xmax(max_gen_len, a.window)) + ax.set_ylim(-y_hi * 0.05, y_hi) # data-driven y-lim sanity # rely on auto summary_rows.append({"alpha": alpha, "n": n, "n_died": n_died, "n_censored": n_censored}) @@ -191,7 +218,7 @@ def main(a: Args): Line2D([0],[0], color=color_alive, lw=2, label=f"alive (pmass >= {a.threshold})"), Line2D([0],[0], color=color_dead, lw=2, label=f"dead (pmass < {a.threshold})"), Line2D([0],[0], color="black", marker="|", lw=0, label="EOS (right-censored)"), - Line2D([0],[0], color="black", lw=0.7, ls=":", label="KL=1 calib target"), + Line2D([0],[0], color="black", lw=0.7, ls=":", label="KL=1 target if in view"), ] axes[0, 0].legend(handles=handles, loc="upper right", fontsize=7, frameon=True) diff --git a/scripts/survival.py b/scripts/survival.py index dfe9fdb..4a2038c 100644 --- a/scripts/survival.py +++ b/scripts/survival.py @@ -22,8 +22,8 @@ Death modes (--metric): Inputs: outputs//trajectory.json + pmass.json. Usage: - python scripts/survival.py --runs_root outputs_qwen05_w512 \ - --out figs_qwen05_survival --alphas 0.5 1.0 2.0 4.0 \ + python scripts/survival.py --runs_root outputs/qwen05_w512 \ + --out figs/qwen05_survival --alphas 0.5 1.0 2.0 4.0 \ --metric pmass --thresholds 0.5 0.8 0.95 """ from __future__ import annotations @@ -49,8 +49,8 @@ except Exception: @dataclass class Args: - runs_root: str = "outputs_qwen05_spaghetti" - out: str = "figs_qwen05_survival" + runs_root: str = "outputs/qwen05_spaghetti" + out: str = "figs/qwen05_survival" window: int = 50 alphas: tuple[str, ...] = ("0.25", "0.5", "0.75", "1.0", "1.5", "2.0", "4.0") thresholds: tuple[float, ...] = (1.0,) @@ -176,6 +176,7 @@ def main(a: Args): colors = {alpha: palette[i % len(palette)] for i, alpha in enumerate(a.alphas)} rows_summary = [] + max_observed_t = 0 for j, thr in enumerate(a.thresholds): ax = axes[0, j] for alpha in a.alphas: @@ -185,6 +186,9 @@ def main(a: Args): logger.warning(f"no data alpha={alpha}"); continue S = survival_kl(K, thr); xs = np.arange(len(S)); n = K.shape[0] xlabel = "token t" + finite_cols = np.where(np.isfinite(K).any(axis=0))[0] + if finite_cols.size: + max_observed_t = max(max_observed_t, int(finite_cols[-1])) elif a.metric in ("pmass", "pmass_eval"): P, fork, gen_lens = _load_pmass(root, alpha, a.window, a.model_contains, key=a.metric) if P.size == 0: @@ -192,11 +196,16 @@ def main(a: Args): S = survival_pmass(P, fork, gen_lens, thr) xs = np.array(fork[: len(S)]); n = P.shape[0] xlabel = "fork token t" + if gen_lens.size: + max_observed_t = max(max_observed_t, int(gen_lens.max())) else: raise SystemExit(f"unknown metric {a.metric!r}; use 'kl', 'pmass', or 'pmass_eval'") + visible = xs <= max(a.window if max_observed_t == 0 else max_observed_t, 20) + xs_plot = xs[visible] + S_plot = S[visible] # tiny vertical jitter so overlapping S=1.0 lines remain individually visible jitter = 0.004 * (list(a.alphas).index(alpha) - (len(a.alphas) - 1) / 2.0) - ax.step(xs, S + jitter, where="post", color=colors[alpha], lw=2.2, alpha=0.9, + ax.step(xs_plot, S_plot + jitter, where="post", color=colors[alpha], lw=2.2, alpha=0.9, label=rf"$\alpha={alpha}$ (n={n})") below_half = np.where(S <= 0.5)[0] t50 = int(xs[below_half[0]]) if len(below_half) else None @@ -211,6 +220,7 @@ def main(a: Args): ax.set_ylim(-0.04, 1.08) if j == 0: ax.set_ylabel("fraction of trajectories alive") + ax.set_xlim(-1, min(a.window, max(20, int(max_observed_t * 1.05)))) # legend outside on the right, never covers the axes ax.legend(loc="center left", bbox_to_anchor=(1.02, 0.5), fontsize=9, frameon=False, title=r"$\alpha$ (n)", title_fontsize=9) diff --git a/src/iso_kl_figure/calibrate.py b/src/iso_kl_figure/calibrate.py index 339e6ca..cced3ff 100644 --- a/src/iso_kl_figure/calibrate.py +++ b/src/iso_kl_figure/calibrate.py @@ -31,10 +31,24 @@ DEFAULT_MESSAGES = [ ] +def _eos_token_ids(tok) -> list[int]: + ids = [tok.eos_token_id] + vocab = tok.get_vocab() + for token in ("", "<|im_end|>", "<|endoftext|>"): + if token in vocab: + ids.append(vocab[token]) + return sorted(set(i for i in ids if i is not None)) + + def _tokenize(prompts, tok): if prompts is None: prompts = DEFAULT_MESSAGES if isinstance(prompts[0], str): + if tok.chat_template is None: + return [ + tok(f"User: {p}\nAssistant: ", return_tensors="pt", add_special_tokens=True).input_ids[0] + for p in prompts + ] return [ tok.apply_chat_template( [{"role": "user", "content": p}], @@ -56,12 +70,55 @@ def _generate(model, prompt_ids, T, tok, do_sample, device): pad_id = tok.pad_token_id if tok.pad_token_id is not None else tok.eos_token_id ids = prompt_ids.unsqueeze(0).to(device) out = model.generate( - ids, max_new_tokens=T, pad_token_id=pad_id, eos_token_id=tok.eos_token_id, + ids, max_new_tokens=T, pad_token_id=pad_id, eos_token_id=_eos_token_ids(tok), num_return_sequences=1, do_sample=do_sample, ) return out[0, prompt_ids.shape[0]:] +@torch.no_grad() +def _kl_generated_incremental(v: Vector, model: nn.Module, prompt_ids: Tensor, gen: Tensor, device) -> Tensor: + """KL for each generated token without materializing `[T, vocab]` logits. + + Full-context scoring at T=4096 OOMs on Gemma because logits/log-probs are + `[seq, vocab]`. This computes the same next-token distributions with KV + caches and only keeps a small token chunk of logits live at once. + """ + chunk_size = 8 + prompt = prompt_ids.unsqueeze(0).to(device) + gen = gen.to(device) + + base_out = model(prompt, use_cache=True) + base_past = base_out.past_key_values + with v(model): + steer_out = model(prompt, use_cache=True) + steer_past = steer_out.past_key_values + + chunks = [ + _kl_per_pos( + torch.log_softmax(steer_out.logits[:, -1:, :].float(), dim=-1)[0], + torch.log_softmax(base_out.logits[:, -1:, :].float(), dim=-1)[0], + ).cpu() + ] + + prev_tokens = gen[:-1] + for start in range(0, prev_tokens.shape[0], chunk_size): + chunk = prev_tokens[start:start + chunk_size].unsqueeze(0) + base_out = model(chunk, past_key_values=base_past, use_cache=True) + base_past = base_out.past_key_values + with v(model): + steer_out = model(chunk, past_key_values=steer_past, use_cache=True) + steer_past = steer_out.past_key_values + chunks.append( + _kl_per_pos( + torch.log_softmax(steer_out.logits.float(), dim=-1)[0], + torch.log_softmax(base_out.logits.float(), dim=-1)[0], + ).cpu() + ) + + return torch.cat(chunks) + + def _quantile(xs: list[float], q: float) -> float: if not xs: return 0.0 @@ -109,15 +166,7 @@ def measure_kl( f"\n--- STEER (c={v.cfg.coeff:+.4f}) ---\n{decoded_steer}\n" f"=== /CALIBRATE ===" ) - full = full_ids.unsqueeze(0) - n_p = pids.shape[0] - - logp_base = torch.log_softmax(model(full).logits.float(), dim=-1)[0] - with v(model): - logp_steer = torch.log_softmax(model(full).logits.float(), dim=-1)[0] - - slc = slice(n_p - 1, n_p - 1 + n_gen) - kls = _kl_per_pos(logp_steer[slc], logp_base[slc]).cpu() + kls = _kl_generated_incremental(v, model, pids, gen, device) all_kls.append(kls) row = [float("nan")] * T for i in range(n_gen): @@ -148,7 +197,7 @@ def calibrate_iso_kl( *, target_kl: float = 1.0, target_stat: str = "kl_p95", - bracket: tuple[float, float] = (0.01, 16.0), + bracket: tuple[float, float] = (0.01, 4096.0), tol: float = 0.05, max_iters: int = 12, T: int = 50, @@ -202,8 +251,10 @@ def calibrate_iso_kl( break c_lo, v_lo = c, val else: - logger.warning(f"calibrate {v.cfg.method}: KL below target across bracket") - return sign * c, history + raise ValueError( + f"calibrate {v.cfg.method}: {target_stat}={v_lo:.4g} below target_kl={target_kl:.4g} " + f"at max coeff={sign * c_lo:+.4g}; increase bracket high or lower target_kl" + ) else: c_hi, v_hi = mid, v_mid c = mid @@ -216,8 +267,10 @@ def calibrate_iso_kl( break c_hi, v_hi = c, val else: - logger.warning(f"calibrate {v.cfg.method}: KL above target across bracket") - return sign * c, history + raise ValueError( + f"calibrate {v.cfg.method}: {target_stat}={v_hi:.4g} above target_kl={target_kl:.4g} " + f"at min coeff={sign * c_hi:+.4g}; decrease bracket low or raise target_kl" + ) stale_lo = stale_hi = 0 for _ in tqdm(range(max_iters), desc=f"calib {v.cfg.method}", mininterval=60, leave=False):