wassname and Claude Opus 4.7
6ec664995b
T6/T7/T8 ablations + lens-search hold pending multiseed
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- Add `eval/layer_module_ablation.py` (T7) and `eval/parameterization_ablation.py` (T8) for causal ablation of trained `dW`.
- Add `nbs/ablation_analysis.py` consuming T7/T8 CSVs through three lenses (SVD-on-`dW`, layer index, module family).
- Fix `prompt_baseline.py` engineered-prompt tuple bug; add `DIFF_FILENAME` constant in `diff.py`.
- Delete superseded notebooks (`analyze_diff*`, `cross_adapter_v9`, `hypothesis_sweep_v5-v9`, `strong_conclusion_v4`, `v10_llama`, `functional_projection_v10`).
- Document (README, fork_plan, RESEARCH_JOURNAL): each lens has a built-in failure mode (SVD tautological for low-rank adapters; layer-index tells depth not mechanism; module-family disagrees cross-adapter; native parameterization decompositions non-comparable). Mark analysis question on hold pending T4 multiseed: cross-adapter inconsistency may be N=1 seed noise.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com >
2026-04-27 19:05:20 +08:00
wassname
7e1b171875
paper data recipe + LoRA hyperparams + n_pairs hardening
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- data: 5 pos + 5 neg personas, 20 train + 12 eval topic split
(paper §3 / Appendix C), n_samples solved from n_pairs.
judge filter stub (off by default; paper uses GPT-4.1-mini).
- eval/sycophancy: read true held-out eval_topics() instead of
SYCOPHANCY_TOPICS[-16:].
- replicate: fix epochs threading; n_pairs reuse fails fast on mismatch;
smoke knobs (n_topics, n_personas) plumbed.
- train: paper hyperparams (rank 32 / alpha 16 / lr 1e-5 / warmup 5 /
wd 0.01); explicit alpha (no 2*r fallback); held-out 10% val + eval_loss
logging.
- run_demo: train_topics() for in_dist demo claims.
- README: scope block reflects paper-matching recipe.
2026-04-26 10:19:59 +08:00
