From 96a5e8b4bc27ceab656851828846b77b5f304688 Mon Sep 17 00:00:00 2001 From: wassname Date: Wed, 3 Jan 2024 14:11:20 +0800 Subject: [PATCH] update readme --- README.md | 109 +- main.ipynb | 57 - nbs/01_detection_using_adapter_ft.ipynb | 5250 +++++++++++++++++++++- nbs/02_detection_using_tldr_prompt.ipynb | 2668 ++--------- requirements.txt | 1464 ------ 5 files changed, 5471 insertions(+), 4077 deletions(-) delete mode 100644 main.ipynb delete mode 100644 requirements.txt diff --git a/README.md b/README.md index abd00de..837ae77 100644 --- a/README.md +++ b/README.md @@ -1,76 +1,89 @@ -# Experiment using LLM's to detect BS writing +# Identifying Low-Quality Textual Content using LLMs + +We explore the feasibility of utilizing Large Language Models (LLMs) to identify 'BS'—text that is of low quality or lacks meaningful content. While recognizing the inherent challenges in detecting AI-generated text with absolute certainty, this research focuses on the more attainable goal of identifying text that is substantively empty or devoid of content. -An experiment to see if I can detect "BS" using LLM's in a robust way. +## Theoretical Underpinnings -It's impossible to detect AI generated text with 100% accuracy. But we will have more success detecting bad, empty, or contentless text. - -Why might this work? As with [Schmidhuber's definition of curiosity](https://arxiv.org/abs/0812.4360) good writing should initially suprise the reader but become less suprising as they learn about it. Empty writing is not suprising. And confusing writing stays confusing even after you have read it. In other words it should have a high perplexity, which goes down after learning it. - -The ideal way to do this would be by fine tuning. But that would be momory intensive so I will try and do it with prompts. I ask: -- Is the text suprising (high perplexity) -- Is less suprising when given a summary? (low perplexity) - -If yes/yes then it's may be suprising new information. If either is not true, then it's proboably BS. - -See [main.ipynb](main.ipynb) for the code and results. +The hypothesis is grounded in [Schmidhuber's concept of curiosity](https://arxiv.org/abs/0812.4360), which posits that engaging writing should initially provoke surprise in the reader, with the level of surprise diminishing as comprehension increases. Conversely, vacuous writing fails to evoke surprise, while perplexing writing remains consistently bewildering. This study posits that such qualities can be quantitatively assessed through the metric of perplexity, which should decrease as the reader's understanding of the text improves. -# Results using adapter fine tuning +## Methodological Approach -I fine tuned the model on the first half of a text, then tested on the second half. I measure how much it learned by the perplexity decrease. The rows with a high perplexity are unpredictable, and the ones with a higher improvement are learnable. Unpredictable and learnable text is not BS. +Ideally, one would employ fine-tuning techniques to tailor the model for this specific task. However, due to the substantial memory requirements of such methods, this study opts for a less resource-intensive approach, utilizing prompts to gauge: +- The initial perplexity of the text (indicative of surprise). +- The change in perplexity upon providing a summary (indicative of learnability). + +Text that scores high on both counts is hypothesized to contain novel and potentially valuable information, whereas text that does not is likely of lower quality. + +We found that this approach only works for model of sufficient ability. Phi-2 (2B parameters) is the smallest current model we found that works. -| name | before | after | in_training | len | improvement% | improvement | -|:----------------------------------------------|---------:|---------:|:--------------|------:|---------------:|--------------:| -| wikipedia on LK-99 | 32.219 | 28.8525 | False | 1038 | 0.104489 | 3.36652 | -| Theory o. general relativity | 26.952 | 24.5425 | True | 1378 | 0.0894 | 2.40951 | -| good_ml | 28.3473 | 26.4566 | False | 1004 | 0.0666997 | 1.89076 | -| enron_email1 | 25.7697 | 24.3904 | True | 445 | 0.0535253 | 1.37933 | -| openai_board_ann | 15.904 | 15.1736 | False | 1191 | 0.0459214 | 0.730332 | -| Schmidhuber 2023 Subjective Novelty, Surprise | 29.615 | 28.4708 | False | 2654 | 0.0386353 | 1.14418 | -| email_to_fauci | 25.0893 | 24.3714 | False | 1559 | 0.0286154 | 0.717941 | -| sokal hoax | 15.9664 | 15.7148 | True | 2487 | 0.0157617 | 0.251658 | -| AI gen fake paper | 7.63283 | 7.57951 | False | 2031 | 0.00698672 | 0.0533285 | -| lorem ipsum | 1.60166 | 1.59538 | True | 445 | 0.00392053 | 0.00627935 | -| bad_ml | 13.9061 | 13.8623 | False | 2345 | 0.00314972 | 0.0438004 | -| I have a dream | 2.12726 | 2.12344 | True | 848 | 0.00179583 | 0.00382018 | +## Empirical Findings: Adapter Fine Tuning + +The model was fine-tuned on the first segment of various texts and then evaluated on the subsequent segment to measure the change in perplexity, which serves as a proxy for the text's learnability and predictability. Texts that exhibit high initial perplexity but show significant improvement are deemed to be both unpredictable and learnable, characteristics not typically associated with low-quality content. -For example the wikipedia extract `wikipedia on LK-99 ` is unpredictable (high before perplexity) and is learnable (high improvement in perplexity). That makes sense as it's a new topic. In contrast `lorem ipsum` has a low perplexity, meaning it's predictalbe or memorizable. That makes sense as this text was likely in the training corpus. The `AI gen fake paper ` has a low perplexity because it's predictable, even thought it is new. +| name | before | after | text length | improvement % | abs improvement | novel? | learnable? | High Quality? | +| :-------------------------------------------- | ------: | ------: | ----------: | ------------: | --------------: | :----- | :--------- | :---- | +| wikipedia on LK-99 | 32.219 | 28.8525 | 1038 | 0.104489 | 3.36652 | True | True | False | +| good_ml | 28.3473 | 26.4566 | 1004 | 0.0666997 | 1.89076 | True | True | False | +| openai_board_ann | 15.904 | 15.1736 | 1191 | 0.0459214 | 0.730332 | True | True | True | +| Schmidhuber 2023 Subjective Novelty, Surprise | 29.615 | 28.4708 | 2654 | 0.0386353 | 1.14418 | True | True | False | +| email_to_fauci | 25.0893 | 24.3714 | 1559 | 0.0286154 | 0.717941 | True | True | True | +| AI gen fake paper | 7.63283 | 7.57951 | 2031 | 0.00698672 | 0.0533285 | False | False | True | +| bad_ml | 13.9061 | 13.8623 | 2345 | 0.00314972 | 0.0438004 | False | False | True | + + +For instance, the Wikipedia extract on 'LK-99' demonstrates high initial perplexity and significant improvement, suggesting it is both novel and learnable—a hallmark of quality content. In contrast, texts like AI-generated papers, which show low perplexity or minimal improvement, are likely predictable or already within the model's training corpus, indicating lower quality. See more in [01_detection_using_adapter_ft.ipynb](01_detection_using_adapter_ft.ipynb) -# Results using prompting +## Empirical Findings: Prompting with summaries: -When using microsoft/phi-2 we get this amount of perplexity reduction by including a summary of the key learnings - -| | sample | learning% | -|---:|:----------------------------------------------|-------------:| -| 3 | einsteins theory of general relativity | 0.0751468 | -| 5 | wikipedia on LK-99 | 0.0674738 | -| 8 | Schmidhuber 2023 Subjective Novelty, Surprise | 0.0396319 | -| 1 | good_ml | 0.0321225 | -| 0 | bad_ml | -9.58801e-05 | -| 2 | sokal hoax | -0.0168107 | -| 7 | AI gen fake paper | -0.134864 | -| 4 | lorem ipsum | -0.69694 | -| 6 | I have a dream | -0.796421 | +When employing the microsoft/phi-2 model and incorporating summaries, we observed varying degrees of perplexity reduction, further supporting the hypothesis that the ability to summarize and reduce perplexity correlates with text quality. + + +| sample | before | after | improvement | improvement% | suprising | summarizable | +|:----------------------------------------------|---------:|---------:|--------------:|---------------:|:------------|:---------------| +| email_to_fauci | 21.0603 | 18.5976 | 2.46273 | 0.116937 | True | True | +| wikipedia on LK-99 | 18.0523 | 16.9282 | 1.12407 | 0.0622675 | True | True | +| openai_board_ann | 8.55293 | 7.57201 | 0.980914 | 0.114688 | False | True | +| bad_ml | 12.4567 | 12.2791 | 0.177641 | 0.0142607 | False | True | +| good_ml | 22.6639 | 22.7335 | -0.0695648 | -0.0030694 | True | False | +| AI gen fake paper | 7.0913 | 7.85388 | -0.762577 | -0.107537 | False | False | +| Schmidhuber 2023 Subjective Novelty, Surprise | 28.31 | 29.5579 | -1.24789 | -0.0440795 | True | False | -As you can see, some of these are probobly in the training set See more in [02_detection_using_tldr_prompt.ipynb](02_detection_using_tldr_prompt.ipynb) -# Citing -If you like our work and end up using this code for your reseach give us a shout-out by citing or acknowledging +## Installing + +```sh +# somehow get hold of a gpu +nvidia-smi + +# clone the repo +git clone https://github.com/wassname/detect_bs_text.git + +# install the python environment +poetry install + +# add you openai key to the secret .env file +echo "OPENAI_API_KEY=XXX" > .env +``` + +## Citing + +If this research contributes to your work, please acknowledge it by citing: ``` @misc{wassname2024, author = {Clark, M.J.}, - title = {BS Writing Detector}, + title = {Identifying Low-Quality Textual Content using LLMs}, year = {2024}, publisher = {GitHub}, journal = {GitHub repository}, diff --git a/main.ipynb b/main.ipynb deleted file mode 100644 index f510f15..0000000 --- a/main.ipynb +++ /dev/null @@ -1,57 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/media/wassname/SGIronWolf/projects5/bs_writing_detector/.venv/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], - "source": [ - "from evaluate import load\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/nbs/01_detection_using_adapter_ft.ipynb b/nbs/01_detection_using_adapter_ft.ipynb index 7fe43df..4602b87 100644 --- a/nbs/01_detection_using_adapter_ft.ipynb +++ b/nbs/01_detection_using_adapter_ft.ipynb @@ -135,7 +135,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "Loading checkpoint shards: 100%|██████████| 2/2 [00:01<00:00, 1.86it/s]\n", + "Loading checkpoint shards: 100%|██████████| 2/2 [00:01<00:00, 1.94it/s]\n", "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n" ] } @@ -419,7 +419,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -428,8 +428,8 @@ " # lr = 4e-3\n", " # epochs = 3\n", " # accum_steps = 1\n", - " batch_size = 6\n", - " verbose = True\n", + " batch_size = 1\n", + " verbose = False\n", "\n", " s = sample['text']\n", " first_half = s[:len(s)//2]\n", @@ -493,9 +493,5064 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/1 [00:00" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, @@ -580,7 +5635,23 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_3554083/69059202.py:1: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise in a future error of pandas. Value 'nan' has dtype incompatible with bool, please explicitly cast to a compatible dtype first.\n", + " df_res.loc[df_res['in_training']==True, 'novel'] = np.nan\n" + ] + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 54, "metadata": {}, "outputs": [ { @@ -610,6 +5681,9 @@ " len\n", " improvement%\n", " improvement\n", + " novel\n", + " learnable\n", + " BS\n", " \n", " \n", " name\n", @@ -619,6 +5693,9 @@ " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -630,15 +5707,9 @@ " 1038\n", " 0.104489\n", " 3.366524\n", - " \n", - " \n", - " Theory o. general relativity\n", - " 26.952023\n", - " 24.542513\n", " True\n", - " 1378\n", - " 0.089400\n", - " 2.409510\n", + " True\n", + " False\n", " \n", " \n", " good_ml\n", @@ -648,15 +5719,9 @@ " 1004\n", " 0.066700\n", " 1.890759\n", - " \n", - " \n", - " enron_email1\n", - " 25.769749\n", - " 24.390415\n", " True\n", - " 445\n", - " 0.053525\n", - " 1.379333\n", + " True\n", + " False\n", " \n", " \n", " openai_board_ann\n", @@ -666,6 +5731,9 @@ " 1191\n", " 0.045921\n", " 0.730332\n", + " True\n", + " True\n", + " True\n", " \n", " \n", " Schmidhuber 2023 Subjective Novelty, Surprise\n", @@ -675,6 +5743,9 @@ " 2654\n", " 0.038635\n", " 1.144184\n", + " True\n", + " True\n", + " False\n", " \n", " \n", " email_to_fauci\n", @@ -684,15 +5755,9 @@ " 1559\n", " 0.028615\n", " 0.717941\n", - " \n", - " \n", - " sokal hoax\n", - " 15.966413\n", - " 15.714754\n", " True\n", - " 2487\n", - " 0.015762\n", - " 0.251658\n", + " True\n", + " True\n", " \n", " \n", " AI gen fake paper\n", @@ -702,15 +5767,9 @@ " 2031\n", " 0.006987\n", " 0.053329\n", - " \n", - " \n", - " lorem ipsum\n", - " 1.601658\n", - " 1.595379\n", + " False\n", + " False\n", " True\n", - " 445\n", - " 0.003921\n", - " 0.006279\n", " \n", " \n", " bad_ml\n", @@ -720,15 +5779,9 @@ " 2345\n", " 0.003150\n", " 0.043800\n", - " \n", - " \n", - " I have a dream\n", - " 2.127256\n", - " 2.123436\n", + " False\n", + " False\n", " True\n", - " 848\n", - " 0.001796\n", - " 0.003820\n", " \n", " \n", "\n", @@ -738,87 +5791,84 @@ " before after \\\n", "name \n", "wikipedia on LK-99 32.219017 28.852493 \n", - "Theory o. general relativity 26.952023 24.542513 \n", "good_ml 28.347332 26.456573 \n", - "enron_email1 25.769749 24.390415 \n", "openai_board_ann 15.903965 15.173633 \n", "Schmidhuber 2023 Subjective Novelty, Surprise 29.614954 28.470770 \n", "email_to_fauci 25.089315 24.371374 \n", - "sokal hoax 15.966413 15.714754 \n", "AI gen fake paper 7.632835 7.579506 \n", - "lorem ipsum 1.601658 1.595379 \n", "bad_ml 13.906106 13.862306 \n", - "I have a dream 2.127256 2.123436 \n", "\n", " in_training len \\\n", "name \n", "wikipedia on LK-99 False 1038 \n", - "Theory o. general relativity True 1378 \n", "good_ml False 1004 \n", - "enron_email1 True 445 \n", "openai_board_ann False 1191 \n", "Schmidhuber 2023 Subjective Novelty, Surprise False 2654 \n", "email_to_fauci False 1559 \n", - "sokal hoax True 2487 \n", "AI gen fake paper False 2031 \n", - "lorem ipsum True 445 \n", "bad_ml False 2345 \n", - "I have a dream True 848 \n", "\n", - " improvement% improvement \n", - "name \n", - "wikipedia on LK-99 0.104489 3.366524 \n", - "Theory o. general relativity 0.089400 2.409510 \n", - "good_ml 0.066700 1.890759 \n", - "enron_email1 0.053525 1.379333 \n", - "openai_board_ann 0.045921 0.730332 \n", - "Schmidhuber 2023 Subjective Novelty, Surprise 0.038635 1.144184 \n", - "email_to_fauci 0.028615 0.717941 \n", - "sokal hoax 0.015762 0.251658 \n", - "AI gen fake paper 0.006987 0.053329 \n", - "lorem ipsum 0.003921 0.006279 \n", - "bad_ml 0.003150 0.043800 \n", - "I have a dream 0.001796 0.003820 " + " improvement% improvement \\\n", + "name \n", + "wikipedia on LK-99 0.104489 3.366524 \n", + "good_ml 0.066700 1.890759 \n", + "openai_board_ann 0.045921 0.730332 \n", + "Schmidhuber 2023 Subjective Novelty, Surprise 0.038635 1.144184 \n", + "email_to_fauci 0.028615 0.717941 \n", + "AI gen fake paper 0.006987 0.053329 \n", + "bad_ml 0.003150 0.043800 \n", + "\n", + " novel learnable BS \n", + "name \n", + "wikipedia on LK-99 True True False \n", + "good_ml True True False \n", + "openai_board_ann True True True \n", + "Schmidhuber 2023 Subjective Novelty, Surprise True True False \n", + "email_to_fauci True True True \n", + "AI gen fake paper False False True \n", + "bad_ml False False True " ] }, - "execution_count": 28, + "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "df_res = pd.DataFrame(data)\n", + "df_res = pd.DataFrame(data).query('in_training==False')\n", "df_res['len'] = df_res.text.str.len()\n", "df_res = df_res[['before', 'after', 'name', 'in_training', 'len']].set_index('name')\n", "df_res['improvement%'] = (df_res['before'] - df_res['after'])/ df_res['before']\n", "df_res['improvement'] = (df_res['before'] - df_res['after'])\n", + "df_res['novel'] = df_res['before'] > 15\n", + "df_res['learnable'] = df_res['improvement%'] > 0.02\n", + "\n", + "# We can measure the final score using learnable * novel\n", + "# df_res['BS'] = ~df_res['learnable'] | ~df_res['novel']\n", + "# Or just absolute perplexity improvement\n", + "df_res['BS'] = df_res['improvement'] < 1\n", "df_res = df_res.sort_values('improvement%', ascending=False)\n", "df_res" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 55, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "| name | before | after | in_training | len | improvement% | improvement |\n", - "|:----------------------------------------------|---------:|---------:|:--------------|------:|---------------:|--------------:|\n", - "| wikipedia on LK-99 | 32.219 | 28.8525 | False | 1038 | 0.104489 | 3.36652 |\n", - "| Theory o. general relativity | 26.952 | 24.5425 | True | 1378 | 0.0894 | 2.40951 |\n", - "| good_ml | 28.3473 | 26.4566 | False | 1004 | 0.0666997 | 1.89076 |\n", - "| enron_email1 | 25.7697 | 24.3904 | True | 445 | 0.0535253 | 1.37933 |\n", - "| openai_board_ann | 15.904 | 15.1736 | False | 1191 | 0.0459214 | 0.730332 |\n", - "| Schmidhuber 2023 Subjective Novelty, Surprise | 29.615 | 28.4708 | False | 2654 | 0.0386353 | 1.14418 |\n", - "| email_to_fauci | 25.0893 | 24.3714 | False | 1559 | 0.0286154 | 0.717941 |\n", - "| sokal hoax | 15.9664 | 15.7148 | True | 2487 | 0.0157617 | 0.251658 |\n", - "| AI gen fake paper | 7.63283 | 7.57951 | False | 2031 | 0.00698672 | 0.0533285 |\n", - "| lorem ipsum | 1.60166 | 1.59538 | True | 445 | 0.00392053 | 0.00627935 |\n", - "| bad_ml | 13.9061 | 13.8623 | False | 2345 | 0.00314972 | 0.0438004 |\n", - "| I have a dream | 2.12726 | 2.12344 | True | 848 | 0.00179583 | 0.00382018 |\n" + "| name | before | after | in_training | len | improvement% | improvement | novel | learnable | BS |\n", + "|:----------------------------------------------|---------:|---------:|:--------------|------:|---------------:|--------------:|:--------|:------------|:------|\n", + "| wikipedia on LK-99 | 32.219 | 28.8525 | False | 1038 | 0.104489 | 3.36652 | True | True | False |\n", + "| good_ml | 28.3473 | 26.4566 | False | 1004 | 0.0666997 | 1.89076 | True | True | False |\n", + "| openai_board_ann | 15.904 | 15.1736 | False | 1191 | 0.0459214 | 0.730332 | True | True | True |\n", + "| Schmidhuber 2023 Subjective Novelty, Surprise | 29.615 | 28.4708 | False | 2654 | 0.0386353 | 1.14418 | True | True | False |\n", + "| email_to_fauci | 25.0893 | 24.3714 | False | 1559 | 0.0286154 | 0.717941 | True | True | True |\n", + "| AI gen fake paper | 7.63283 | 7.57951 | False | 2031 | 0.00698672 | 0.0533285 | False | False | True |\n", + "| bad_ml | 13.9061 | 13.8623 | False | 2345 | 0.00314972 | 0.0438004 | False | False | True |\n" ] } ], @@ -835,7 +5885,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -875,7 +5925,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -889,17 +5939,9 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 33, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/media/wassname/SGIronWolf/projects5/bs_writing_detector/.venv/lib/python3.11/site-packages/transformers/generation/utils.py:1421: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use and modify the model generation configuration (see https://huggingface.co/docs/transformers/generation_strategies#default-text-generation-configuration )\n", - " warnings.warn(\n" - ] - }, { "data": { "text/html": [ @@ -920,7 +5962,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -964,7 +6006,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.0rc1" } }, "nbformat": 4, diff --git a/nbs/02_detection_using_tldr_prompt.ipynb b/nbs/02_detection_using_tldr_prompt.ipynb index fd0d54a..dd4269f 100644 --- a/nbs/02_detection_using_tldr_prompt.ipynb +++ b/nbs/02_detection_using_tldr_prompt.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -66,7 +66,7 @@ " 'in_training': False}" ] }, - "execution_count": 3, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -93,7 +93,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -102,7 +102,7 @@ "True" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -115,16 +115,16 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'Exploring representation engineering (RepE) for AI transparency, we proposed new methods that improved results on TruthfulQA and presented a tool for AI safety issues. Future RepE research could further boost our control over AI systems.'" + "'Research on representation engineering (RepE) for AI systems revealed new insights for monitoring and control. New methods were proposed, showing potential for safety-related issues. Future work could explore other aspects of AI representations.'" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -155,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -261,7 +261,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -284,7 +284,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -304,21 +304,21 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "models = [\n", " \"TheBloke/phi-2-GPTQ\",\n", - " \"TheBloke/Llama-2-7B-GPTQ\",\n", - " \"TheBloke/Llama-2-13B-GPTQ\",\n", - " \"TheBloke/Mistral-7B-v0.1-GPTQ\",\n", + " # \"TheBloke/Llama-2-7B-GPTQ\",\n", + " # \"TheBloke/Llama-2-13B-GPTQ\",\n", + " # \"TheBloke/Mistral-7B-v0.1-GPTQ\",\n", "]\n" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -326,725 +326,183 @@ "output_type": "stream", "text": [ "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n", + "CUDA extension not installed.\n", + "CUDA extension not installed.\n", "Using pad_token, but it is not set yet.\n", - "100%|██████████| 1/1 [00:00<00:00, 4.20it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 4.14it/s]\n" + "100%|██████████| 1/1 [00:00<00:00, 3.04it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 4.38it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "TheBloke/phi-2-GPTQ bad_ml 12.456705093383789 11.44649887084961\n" + "TheBloke/phi-2-GPTQ bad_ml 12.456705093383789 12.279064178466797\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:00<00:00, 5.00it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 4.92it/s]\n" + "100%|██████████| 1/1 [00:00<00:00, 5.32it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 5.06it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "TheBloke/phi-2-GPTQ good_ml 22.6639461517334 20.115413665771484\n" + "TheBloke/phi-2-GPTQ good_ml 22.6639461517334 22.733510971069336\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:00<00:00, 4.17it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 3.81it/s]\n" + "100%|██████████| 1/1 [00:00<00:00, 4.33it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 3.34it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "TheBloke/phi-2-GPTQ sokal hoax 14.285429000854492 14.216052055358887\n" + "TheBloke/phi-2-GPTQ sokal hoax 14.285429000854492 14.33104133605957\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:00<00:00, 4.48it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 4.06it/s]\n" + "100%|██████████| 1/1 [00:00<00:00, 4.82it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 4.79it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "TheBloke/phi-2-GPTQ Theory o. general relativity 20.507640838623047 19.644332885742188\n" + "TheBloke/phi-2-GPTQ Theory o. general relativity 20.507640838623047 18.95397186279297\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - 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"TheBloke/phi-2-GPTQ Schmidhuber 2023 Subjective Novelty, Surprise 28.30998992919922 27.353872299194336\n" + "TheBloke/phi-2-GPTQ Schmidhuber 2023 Subjective Novelty, Surprise 28.30998992919922 29.557880401611328\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:00<00:00, 4.34it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 3.98it/s]\n" + "100%|██████████| 1/1 [00:00<00:00, 4.44it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 4.13it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "TheBloke/phi-2-GPTQ email_to_fauci 21.060319900512695 18.637592315673828\n" + "TheBloke/phi-2-GPTQ email_to_fauci 21.060319900512695 18.597585678100586\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:00<00:00, 5.12it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 5.21it/s]\n" + "100%|██████████| 1/1 [00:00<00:00, 5.71it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 5.42it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "TheBloke/phi-2-GPTQ enron_email1 22.875591278076172 19.7093563079834\n" + "TheBloke/phi-2-GPTQ enron_email1 22.875591278076172 19.046457290649414\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 1/1 [00:00<00:00, 4.48it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 4.16it/s]\n" + "100%|██████████| 1/1 [00:00<00:00, 4.84it/s]\n", + "100%|██████████| 1/1 [00:00<00:00, 4.37it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "TheBloke/phi-2-GPTQ openai_board_ann 8.552927017211914 9.061805725097656\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using pad_token, but it is not set yet.\n", - "100%|██████████| 1/1 [00:00<00:00, 2.40it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.40it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-7B-GPTQ bad_ml 7.999119281768799 7.641711235046387\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 3.24it/s]\n", - 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}, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ lorem ipsum 1.1234644651412964 2.4330925941467285\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.72it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.57it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ wikipedia on LK-99 11.651829719543457 9.702957153320312\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.79it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.58it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ I have a dream 1.9503285884857178 2.886058807373047\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.46it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.45it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ AI gen fake paper 5.545047283172607 5.438870429992676\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.31it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.31it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ Schmidhuber 2023 Subjective Novelty, Surprise 12.74594497680664 12.751182556152344\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.47it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.48it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ email_to_fauci 9.83792495727539 9.111186981201172\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.06it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.88it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ enron_email1 12.423323631286621 10.992777824401855\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.56it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.51it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ openai_board_ann 5.368657112121582 5.724536418914795\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n", - "Using pad_token, but it is not set yet.\n", - "100%|██████████| 1/1 [00:00<00:00, 1.85it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.92it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ bad_ml 8.447798728942871 8.512030601501465\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.41it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.09it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ good_ml 15.270345687866211 14.024930000305176\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.91it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.90it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ sokal hoax 5.615131855010986 5.96171236038208\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.09it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.13it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ Theory o. general relativity 12.043559074401855 13.062692642211914\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.53it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.44it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ lorem ipsum 1.1297272443771362 2.379859685897827\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.89it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.14it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ wikipedia on LK-99 11.517416954040527 10.170454025268555\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.42it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.37it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ I have a dream 1.8666073083877563 3.1792848110198975\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.03it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.99it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ AI gen fake paper 5.661380290985107 5.60957145690918\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 1.88it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 1.89it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ Schmidhuber 2023 Subjective Novelty, Surprise 13.881444931030273 13.93079948425293\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.06it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.03it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ email_to_fauci 10.894938468933105 10.550251960754395\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.60it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.51it/s]\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ enron_email1 12.993982315063477 11.092223167419434\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:00<00:00, 2.10it/s]\n", - "100%|██████████| 1/1 [00:00<00:00, 2.16it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Mistral-7B-v0.1-GPTQ openai_board_ann 5.521510124206543 6.3877854347229\n" + "TheBloke/phi-2-GPTQ openai_board_ann 8.552927017211914 7.572012901306152\n" ] }, { @@ -1082,7 +540,7 @@ "\n", " print(model_name, sample['name'], before, after)\n", " data.append(dict(before=before, after=after, model=model_name, sample=sample['name'],\n", - " in_training=sample['in_training'], len=sample['len']))\n" + " in_training=sample['in_training'], len=len(sample['text'])))\n" ] }, { @@ -1094,20 +552,7 @@ }, { "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "# results\n", - "df = pd.DataFrame(data)\n", - "df[\"learning%\"] = (df[\"before\"] - df[\"after\"])/df[\"before\"]\n", - "df['in_training'] = None\n", - "# df" - ] - }, - { - "cell_type": "code", - "execution_count": 34, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -1134,1770 +579,163 @@ " before\n", " after\n", " model\n", - " sample\n", - " learning%\n", " in_training\n", + " len\n", + " summarizable%\n", + " \n", + " \n", + " sample\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " 0\n", + " bad_ml\n", " 12.456705\n", - " 11.446499\n", + " 12.279064\n", " TheBloke/phi-2-GPTQ\n", - " bad_ml\n", - " 0.081097\n", - " None\n", + " False\n", + " 2345\n", + " 0.014261\n", " \n", " \n", - " 1\n", + " good_ml\n", " 22.663946\n", - " 20.115414\n", + " 22.733511\n", " TheBloke/phi-2-GPTQ\n", - " good_ml\n", - " 0.112449\n", - " None\n", + " False\n", + " 1004\n", + " -0.003069\n", " \n", " \n", - " 2\n", - " 14.285429\n", - " 14.216052\n", - " TheBloke/phi-2-GPTQ\n", - " sokal hoax\n", - " 0.004856\n", - " None\n", - " \n", - " \n", - " 3\n", - " 20.507641\n", - " 19.644333\n", - " TheBloke/phi-2-GPTQ\n", - " Theory o. general relativity\n", - " 0.042097\n", - " None\n", - " \n", - " \n", - " 4\n", - " 1.164225\n", - " 2.354216\n", - " TheBloke/phi-2-GPTQ\n", - " lorem ipsum\n", - " -1.022131\n", - " None\n", - " \n", - " \n", - " 5\n", + " wikipedia on LK-99\n", " 18.052301\n", - " 14.710425\n", + " 16.928230\n", " TheBloke/phi-2-GPTQ\n", - " wikipedia on LK-99\n", - " 0.185122\n", - " None\n", + " False\n", + " 1038\n", + " 0.062267\n", " \n", " \n", - " 6\n", - " 2.836233\n", - " 4.256137\n", - " TheBloke/phi-2-GPTQ\n", - " I have a dream\n", - " -0.500631\n", - " None\n", - " \n", - " \n", - " 7\n", + " AI gen fake paper\n", " 7.091303\n", - " 7.495458\n", + " 7.853880\n", " TheBloke/phi-2-GPTQ\n", - " AI gen fake paper\n", - " -0.056993\n", - " None\n", + " False\n", + " 2031\n", + " -0.107537\n", " \n", " \n", - " 8\n", + " Schmidhuber 2023 Subjective Novelty, Surprise\n", " 28.309990\n", - " 27.353872\n", + " 29.557880\n", " TheBloke/phi-2-GPTQ\n", - " Schmidhuber 2023 Subjective Novelty, Surprise\n", - " 0.033773\n", - " None\n", + " False\n", + " 2654\n", + " -0.044080\n", " \n", " \n", - " 9\n", + " email_to_fauci\n", " 21.060320\n", - " 18.637592\n", + " 18.597586\n", " TheBloke/phi-2-GPTQ\n", - " email_to_fauci\n", - " 0.115038\n", - " None\n", + " False\n", + " 1559\n", + " 0.116937\n", " \n", " \n", - " 10\n", - " 22.875591\n", - " 19.709356\n", - " TheBloke/phi-2-GPTQ\n", - " enron_email1\n", - " 0.138411\n", - " None\n", - " \n", - " \n", - " 11\n", + " openai_board_ann\n", " 8.552927\n", - " 9.061806\n", + " 7.572013\n", " TheBloke/phi-2-GPTQ\n", - " openai_board_ann\n", - " -0.059498\n", - " None\n", - " \n", - " \n", - " 12\n", - " 7.999119\n", - " 7.641711\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " bad_ml\n", - " 0.044681\n", - " None\n", - " \n", - " \n", - " 13\n", - " 14.435519\n", - " 13.192563\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " good_ml\n", - " 0.086104\n", - " None\n", - " \n", - " \n", - " 14\n", - " 7.427894\n", - " 7.882517\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " sokal hoax\n", - " -0.061205\n", - " None\n", - " \n", - " \n", - " 15\n", - " 13.795382\n", - " 13.612863\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " Theory o. general relativity\n", - " 0.013230\n", - " None\n", - " \n", - " \n", - " 16\n", - " 1.243477\n", - " 2.416914\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " lorem ipsum\n", - " -0.943674\n", - " None\n", - " \n", - " \n", - " 17\n", - " 12.341974\n", - " 9.843638\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " wikipedia on LK-99\n", - " 0.202426\n", - " None\n", - " \n", - " \n", - " 18\n", - " 2.268300\n", - " 3.098978\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " I have a dream\n", - " -0.366212\n", - " None\n", - " \n", - " \n", - " 19\n", - " 6.164851\n", - " 6.050374\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " AI gen fake paper\n", - " 0.018569\n", - " None\n", - " \n", - " \n", - " 20\n", - " 13.611172\n", - " 13.453000\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " Schmidhuber 2023 Subjective Novelty, Surprise\n", - " 0.011621\n", - " None\n", - " \n", - " \n", - " 21\n", - " 11.317076\n", - " 10.221867\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " email_to_fauci\n", - " 0.096775\n", - " None\n", - " \n", - " \n", - " 22\n", - " 13.783302\n", - " 11.154099\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " enron_email1\n", - " 0.190753\n", - " None\n", - " \n", - " \n", - " 23\n", - " 5.916965\n", - " 5.880437\n", - " TheBloke/Llama-2-7B-GPTQ\n", - " openai_board_ann\n", - " 0.006173\n", - " None\n", - " \n", - " \n", - " 24\n", - " 7.593436\n", - " 7.552161\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " bad_ml\n", - " 0.005436\n", - " None\n", - " \n", - " \n", - " 25\n", - " 12.493735\n", - " 11.740431\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " good_ml\n", - " 0.060295\n", - " None\n", - " \n", - " \n", - " 26\n", - " 3.641391\n", - " 4.234778\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " sokal hoax\n", - " -0.162956\n", - " None\n", - " \n", - " \n", - " 27\n", - " 11.865457\n", - " 12.391860\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " Theory o. general relativity\n", - " -0.044364\n", - " None\n", - " \n", - " \n", - " 28\n", - " 1.123464\n", - " 2.433093\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " lorem ipsum\n", - " -1.165705\n", - " None\n", - " \n", - " \n", - " 29\n", - " 11.651830\n", - " 9.702957\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " wikipedia on LK-99\n", - " 0.167259\n", - " None\n", - " \n", - " \n", - " 30\n", - " 1.950329\n", - " 2.886059\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " I have a dream\n", - " -0.479781\n", - " None\n", - " \n", - " \n", - " 31\n", - " 5.545047\n", - " 5.438870\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " AI gen fake paper\n", - " 0.019148\n", - " None\n", - " \n", - " \n", - " 32\n", - " 12.745945\n", - " 12.751183\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " Schmidhuber 2023 Subjective Novelty, Surprise\n", - " -0.000411\n", - " None\n", - " \n", - " \n", - " 33\n", - " 9.837925\n", - " 9.111187\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " email_to_fauci\n", - " 0.073871\n", - " None\n", - " \n", - " \n", - " 34\n", - " 12.423324\n", - " 10.992778\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " enron_email1\n", - " 0.115150\n", - " None\n", - " \n", - " \n", - " 35\n", - " 5.368657\n", - " 5.724536\n", - " TheBloke/Llama-2-13B-GPTQ\n", - " openai_board_ann\n", - " -0.066288\n", - " None\n", - " \n", - " \n", - " 36\n", - " 8.447799\n", - " 8.512031\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " bad_ml\n", - " -0.007603\n", - " None\n", - " \n", - " \n", - " 37\n", - " 15.270346\n", - " 14.024930\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " good_ml\n", - " 0.081558\n", - " None\n", - " \n", - " \n", - " 38\n", - " 5.615132\n", - " 5.961712\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " sokal hoax\n", - " -0.061723\n", - " None\n", - " \n", - " \n", - " 39\n", - " 12.043559\n", - " 13.062693\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " Theory o. general relativity\n", - " -0.084621\n", - " None\n", - " \n", - " \n", - " 40\n", - " 1.129727\n", - " 2.379860\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " lorem ipsum\n", - " -1.106579\n", - " None\n", - " \n", - " \n", - " 41\n", - " 11.517417\n", - " 10.170454\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " wikipedia on LK-99\n", - " 0.116950\n", - " None\n", - " \n", - " \n", - " 42\n", - " 1.866607\n", - " 3.179285\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " I have a dream\n", - " -0.703242\n", - " None\n", - " \n", - " \n", - " 43\n", - " 5.661380\n", - " 5.609571\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " AI gen fake paper\n", - " 0.009151\n", - " None\n", - " \n", - " \n", - " 44\n", - " 13.881445\n", - " 13.930799\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " Schmidhuber 2023 Subjective Novelty, Surprise\n", - " -0.003555\n", - " None\n", - " \n", - " \n", - " 45\n", - " 10.894938\n", - " 10.550252\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " email_to_fauci\n", - " 0.031637\n", - " None\n", - " \n", - " \n", - " 46\n", - " 12.993982\n", - " 11.092223\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " enron_email1\n", - " 0.146357\n", - " None\n", - " \n", - " \n", - " 47\n", - " 5.521510\n", - " 6.387785\n", - " TheBloke/Mistral-7B-v0.1-GPTQ\n", - " openai_board_ann\n", - " -0.156891\n", - " None\n", + " False\n", + " 1191\n", + " 0.114688\n", " \n", " \n", "\n", "" ], "text/plain": [ - " before after model \\\n", - "0 12.456705 11.446499 TheBloke/phi-2-GPTQ \n", - "1 22.663946 20.115414 TheBloke/phi-2-GPTQ \n", - "2 14.285429 14.216052 TheBloke/phi-2-GPTQ \n", - "3 20.507641 19.644333 TheBloke/phi-2-GPTQ \n", - "4 1.164225 2.354216 TheBloke/phi-2-GPTQ \n", - "5 18.052301 14.710425 TheBloke/phi-2-GPTQ \n", - "6 2.836233 4.256137 TheBloke/phi-2-GPTQ \n", - "7 7.091303 7.495458 TheBloke/phi-2-GPTQ \n", - "8 28.309990 27.353872 TheBloke/phi-2-GPTQ \n", - "9 21.060320 18.637592 TheBloke/phi-2-GPTQ \n", - "10 22.875591 19.709356 TheBloke/phi-2-GPTQ \n", - "11 8.552927 9.061806 TheBloke/phi-2-GPTQ \n", - "12 7.999119 7.641711 TheBloke/Llama-2-7B-GPTQ \n", - "13 14.435519 13.192563 TheBloke/Llama-2-7B-GPTQ \n", - "14 7.427894 7.882517 TheBloke/Llama-2-7B-GPTQ \n", - "15 13.795382 13.612863 TheBloke/Llama-2-7B-GPTQ \n", - "16 1.243477 2.416914 TheBloke/Llama-2-7B-GPTQ \n", - "17 12.341974 9.843638 TheBloke/Llama-2-7B-GPTQ \n", - "18 2.268300 3.098978 TheBloke/Llama-2-7B-GPTQ \n", - "19 6.164851 6.050374 TheBloke/Llama-2-7B-GPTQ \n", - "20 13.611172 13.453000 TheBloke/Llama-2-7B-GPTQ \n", - "21 11.317076 10.221867 TheBloke/Llama-2-7B-GPTQ \n", - "22 13.783302 11.154099 TheBloke/Llama-2-7B-GPTQ \n", - "23 5.916965 5.880437 TheBloke/Llama-2-7B-GPTQ \n", - "24 7.593436 7.552161 TheBloke/Llama-2-13B-GPTQ \n", - "25 12.493735 11.740431 TheBloke/Llama-2-13B-GPTQ \n", - "26 3.641391 4.234778 TheBloke/Llama-2-13B-GPTQ \n", - "27 11.865457 12.391860 TheBloke/Llama-2-13B-GPTQ \n", - "28 1.123464 2.433093 TheBloke/Llama-2-13B-GPTQ \n", - "29 11.651830 9.702957 TheBloke/Llama-2-13B-GPTQ \n", - "30 1.950329 2.886059 TheBloke/Llama-2-13B-GPTQ \n", - "31 5.545047 5.438870 TheBloke/Llama-2-13B-GPTQ \n", - "32 12.745945 12.751183 TheBloke/Llama-2-13B-GPTQ \n", - "33 9.837925 9.111187 TheBloke/Llama-2-13B-GPTQ \n", - "34 12.423324 10.992778 TheBloke/Llama-2-13B-GPTQ \n", - "35 5.368657 5.724536 TheBloke/Llama-2-13B-GPTQ \n", - "36 8.447799 8.512031 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "37 15.270346 14.024930 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "38 5.615132 5.961712 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "39 12.043559 13.062693 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "40 1.129727 2.379860 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "41 11.517417 10.170454 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "42 1.866607 3.179285 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "43 5.661380 5.609571 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "44 13.881445 13.930799 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "45 10.894938 10.550252 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "46 12.993982 11.092223 TheBloke/Mistral-7B-v0.1-GPTQ \n", - "47 5.521510 6.387785 TheBloke/Mistral-7B-v0.1-GPTQ \n", + " before after \\\n", + "sample \n", + "bad_ml 12.456705 12.279064 \n", + "good_ml 22.663946 22.733511 \n", + "wikipedia on LK-99 18.052301 16.928230 \n", + "AI gen fake paper 7.091303 7.853880 \n", + "Schmidhuber 2023 Subjective Novelty, Surprise 28.309990 29.557880 \n", + "email_to_fauci 21.060320 18.597586 \n", + "openai_board_ann 8.552927 7.572013 \n", "\n", - " sample learning% in_training \n", - "0 bad_ml 0.081097 None \n", - "1 good_ml 0.112449 None \n", - "2 sokal hoax 0.004856 None \n", - "3 Theory o. general relativity 0.042097 None \n", - "4 lorem ipsum -1.022131 None \n", - "5 wikipedia on LK-99 0.185122 None \n", - "6 I have a dream -0.500631 None \n", - "7 AI gen fake paper -0.056993 None \n", - "8 Schmidhuber 2023 Subjective Novelty, Surprise 0.033773 None \n", - "9 email_to_fauci 0.115038 None \n", - "10 enron_email1 0.138411 None \n", - "11 openai_board_ann -0.059498 None \n", - "12 bad_ml 0.044681 None \n", - "13 good_ml 0.086104 None \n", - "14 sokal hoax -0.061205 None \n", - "15 Theory o. general relativity 0.013230 None \n", - "16 lorem ipsum -0.943674 None \n", - "17 wikipedia on LK-99 0.202426 None \n", - "18 I have a dream -0.366212 None \n", - "19 AI gen fake paper 0.018569 None \n", - "20 Schmidhuber 2023 Subjective Novelty, Surprise 0.011621 None \n", - "21 email_to_fauci 0.096775 None \n", - "22 enron_email1 0.190753 None \n", - "23 openai_board_ann 0.006173 None \n", - "24 bad_ml 0.005436 None \n", - "25 good_ml 0.060295 None \n", - "26 sokal hoax -0.162956 None \n", - "27 Theory o. general relativity -0.044364 None \n", - "28 lorem ipsum -1.165705 None \n", - "29 wikipedia on LK-99 0.167259 None \n", - "30 I have a dream -0.479781 None \n", - "31 AI gen fake paper 0.019148 None \n", - "32 Schmidhuber 2023 Subjective Novelty, Surprise -0.000411 None \n", - "33 email_to_fauci 0.073871 None \n", - "34 enron_email1 0.115150 None \n", - "35 openai_board_ann -0.066288 None \n", - "36 bad_ml -0.007603 None \n", - "37 good_ml 0.081558 None \n", - "38 sokal hoax -0.061723 None \n", - "39 Theory o. general relativity -0.084621 None \n", - "40 lorem ipsum -1.106579 None \n", - "41 wikipedia on LK-99 0.116950 None \n", - "42 I have a dream -0.703242 None \n", - "43 AI gen fake paper 0.009151 None \n", - "44 Schmidhuber 2023 Subjective Novelty, Surprise -0.003555 None \n", - "45 email_to_fauci 0.031637 None \n", - "46 enron_email1 0.146357 None \n", - "47 openai_board_ann -0.156891 None " + " model \\\n", + "sample \n", + "bad_ml TheBloke/phi-2-GPTQ \n", + "good_ml TheBloke/phi-2-GPTQ \n", + "wikipedia on LK-99 TheBloke/phi-2-GPTQ \n", + "AI gen fake paper TheBloke/phi-2-GPTQ \n", + "Schmidhuber 2023 Subjective Novelty, Surprise TheBloke/phi-2-GPTQ \n", + "email_to_fauci TheBloke/phi-2-GPTQ \n", + "openai_board_ann TheBloke/phi-2-GPTQ \n", + "\n", + " in_training len \\\n", + "sample \n", + "bad_ml False 2345 \n", + "good_ml False 1004 \n", + "wikipedia on LK-99 False 1038 \n", + "AI gen fake paper False 2031 \n", + "Schmidhuber 2023 Subjective Novelty, Surprise False 2654 \n", + "email_to_fauci False 1559 \n", + "openai_board_ann False 1191 \n", + "\n", + " summarizable% \n", + "sample \n", + "bad_ml 0.014261 \n", + "good_ml -0.003069 \n", + "wikipedia on LK-99 0.062267 \n", + "AI gen fake paper -0.107537 \n", + "Schmidhuber 2023 Subjective Novelty, Surprise -0.044080 \n", + "email_to_fauci 0.116937 \n", + "openai_board_ann 0.114688 " ] }, - "execution_count": 34, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "# results\n", + "df = pd.DataFrame(data).set_index('sample')\n", + "df = df.query('in_training == False')\n", + "df[\"summarizable%\"] = (df[\"before\"] - df[\"after\"])/df[\"before\"]\n", + "\n", "df" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 24, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "TheBloke/Llama-2-13B-GPTQ\n", - "| | sample | learning% | in_training |\n", - "|---:|:----------------------------------------------|-------------:|:--------------|\n", - "| 29 | wikipedia on LK-99 | 0.167259 | |\n", - "| 34 | enron_email1 | 0.11515 | |\n", - "| 33 | email_to_fauci | 0.0738711 | |\n", - "| 25 | good_ml | 0.0602946 | |\n", - "| 31 | AI gen fake paper | 0.0191481 | |\n", - "| 24 | bad_ml | 0.00543562 | |\n", - "| 32 | Schmidhuber 2023 Subjective Novelty, Surprise | -0.000410921 | |\n", - "| 27 | Theory o. general relativity | -0.0443644 | |\n", - "| 35 | openai_board_ann | -0.0662883 | |\n", - "| 26 | sokal hoax | -0.162956 | |\n", - "| 30 | I have a dream | -0.479781 | |\n", - "| 28 | lorem ipsum | -1.1657 | |\n" - ] - }, - { - "data": { - "text/html": [ - "
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samplelearning%in_training
5wikipedia on LK-990.185122None
10enron_email10.138411None
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1good_ml0.112449None
0bad_ml0.081097None
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2sokal hoax0.004856None
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samplelearning%in_training
29wikipedia on LK-991.948873None
34enron_email11.430546None
25good_ml0.753304None
33email_to_fauci0.726738None
31AI gen fake paper0.106177None
24bad_ml0.041275None
32Schmidhuber 2023 Subjective Novelty, Surprise-0.005238None
35openai_board_ann-0.355879None
27Theory o. general relativity-0.526403None
26sokal hoax-0.593387None
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samplelearning%in_training
22enron_email12.629203None
17wikipedia on LK-992.498336None
13good_ml1.242956None
21email_to_fauci1.095209None
12bad_ml0.357408None
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samplelearning%in_training
46enron_email11.901759None
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45email_to_fauci0.344687None
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samplelearning%in_training
5wikipedia on LK-993.341876None
10enron_email13.166235None
1good_ml2.548532None
9email_to_fauci2.422728None
0bad_ml1.010206None
8Schmidhuber 2023 Subjective Novelty, Surprise0.956118None
3Theory o. general relativity0.863308None
2sokal hoax0.069377None
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4lorem ipsum-1.189991None
6I have a dream-1.419905None
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" - ], - "text/plain": [ - " sample learning% in_training\n", - "5 wikipedia on LK-99 3.341876 None\n", - "10 enron_email1 3.166235 None\n", - "1 good_ml 2.548532 None\n", - "9 email_to_fauci 2.422728 None\n", - "0 bad_ml 1.010206 None\n", - "8 Schmidhuber 2023 Subjective Novelty, Surprise 0.956118 None\n", - "3 Theory o. general relativity 0.863308 None\n", - "2 sokal hoax 0.069377 None\n", - "7 AI gen fake paper -0.404154 None\n", - "11 openai_board_ann -0.508879 None\n", - "4 lorem ipsum -1.189991 None\n", - "6 I have a dream -1.419905 None" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "df[\"learning%\"] = (df[\"before\"] - df[\"after\"])\n", - "for n,d in df.groupby(\"model\"):\n", - " print(n)\n", - " d = d[['sample', 'learning%', 'in_training']].sort_values(\"learning%\", ascending=False)\n", - " print(d.to_markdown())\n", - " display(d)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# TODO: compare big and small" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "big numbers mean a difference between big and small models\n", - "| sample | before | after | learning% |\n", - "|:----------------------------------------------|---------:|-----------:|------------:|\n", - "| sokal hoax | 3.7865 | 3.64774 | 0.138764 |\n", - "| good_ml | 1.94178 | 1.45213 | 0.489652 |\n", - "| Theory o. general relativity | 1.92992 | 1.221 | 0.708922 |\n", - "| email_to_fauci | 1.47915 | 1.11068 | 0.368471 |\n", - "| Schmidhuber 2023 Subjective Novelty, Surprise | 0.865227 | 0.701818 | 0.163409 |\n", - "| AI gen fake paper | 0.619803 | 0.611503 | 0.0083003 |\n", - "| I have a dream | 0.317971 | 0.212919 | 0.105052 |\n", - "| enron_email1 | 1.35998 | 0.161322 | 1.19866 |\n", - "| openai_board_ann | 0.548308 | 0.1559 | 0.392407 |\n", - "| wikipedia on LK-99 | 0.690145 | 0.140681 | 0.549463 |\n", - "| bad_ml | 0.405684 | 0.0895505 | 0.316133 |\n", - "| lorem ipsum | 0.120013 | -0.0161781 | 0.136191 |\n" + "| sample | before | after | improvement | improvement% | suprising | summarizable |\n", + "|:----------------------------------------------|---------:|---------:|--------------:|---------------:|:------------|:---------------|\n", + "| email_to_fauci | 21.0603 | 18.5976 | 2.46273 | 0.116937 | True | True |\n", + "| wikipedia on LK-99 | 18.0523 | 16.9282 | 1.12407 | 0.0622675 | True | True |\n", + "| openai_board_ann | 8.55293 | 7.57201 | 0.980914 | 0.114688 | False | True |\n", + "| bad_ml | 12.4567 | 12.2791 | 0.177641 | 0.0142607 | False | True |\n", + "| good_ml | 22.6639 | 22.7335 | -0.0695648 | -0.0030694 | True | False |\n", + "| AI gen fake paper | 7.0913 | 7.85388 | -0.762577 | -0.107537 | False | False |\n", + "| Schmidhuber 2023 Subjective Novelty, Surprise | 28.31 | 29.5579 | -1.24789 | -0.0440795 | True | False |\n" ] }, { @@ -2923,121 +761,136 @@ " \n", " before\n", " after\n", - " learning%\n", + " improvement\n", + " improvement%\n", + " suprising\n", + " summarizable\n", " \n", " \n", " sample\n", " \n", " \n", " \n", + " \n", + " \n", + " \n", " \n", " \n", " \n", " \n", - " sokal hoax\n", - " 3.786502\n", - " 3.647738\n", - " 0.138764\n", - " \n", - " \n", - " good_ml\n", - " 1.941784\n", - " 1.452132\n", - " 0.489652\n", - " \n", - " \n", - " Theory o. general relativity\n", - " 1.929925\n", - " 1.221003\n", - " 0.708922\n", - " \n", - " \n", " email_to_fauci\n", - " 1.479151\n", - " 1.110680\n", - " 0.368471\n", - " \n", - " \n", - " Schmidhuber 2023 Subjective Novelty, Surprise\n", - " 0.865227\n", - " 0.701818\n", - " 0.163409\n", - " \n", - " \n", - " AI gen fake paper\n", - " 0.619803\n", - " 0.611503\n", - " 0.008300\n", - " \n", - " \n", - " I have a dream\n", - " 0.317971\n", - " 0.212919\n", - " 0.105052\n", - " \n", - " \n", - " enron_email1\n", - " 1.359979\n", - " 0.161322\n", - " 1.198657\n", - " \n", - " \n", - " openai_board_ann\n", - " 0.548308\n", - " 0.155900\n", - " 0.392407\n", + " 21.060320\n", + " 18.597586\n", + " 2.462734\n", + " 0.116937\n", + " True\n", + " True\n", " \n", " \n", " wikipedia on LK-99\n", - " 0.690145\n", - " 0.140681\n", - " 0.549463\n", + " 18.052301\n", + " 16.928230\n", + " 1.124071\n", + " 0.062267\n", + " True\n", + " True\n", + " \n", + " \n", + " openai_board_ann\n", + " 8.552927\n", + " 7.572013\n", + " 0.980914\n", + " 0.114688\n", + " False\n", + " True\n", " \n", " \n", " bad_ml\n", - " 0.405684\n", - " 0.089550\n", - " 0.316133\n", + " 12.456705\n", + " 12.279064\n", + " 0.177641\n", + " 0.014261\n", + " False\n", + " True\n", " \n", " \n", - " lorem ipsum\n", - " 0.120013\n", - " -0.016178\n", - " 0.136191\n", + " good_ml\n", + " 22.663946\n", + " 22.733511\n", + " -0.069565\n", + " -0.003069\n", + " True\n", + " False\n", + " \n", + " \n", + " AI gen fake paper\n", + " 7.091303\n", + " 7.853880\n", + " -0.762577\n", + " -0.107537\n", + " False\n", + " False\n", + " \n", + " \n", + " Schmidhuber 2023 Subjective Novelty, Surprise\n", + " 28.309990\n", + " 29.557880\n", + " -1.247890\n", + " -0.044080\n", + " True\n", + " False\n", " \n", " \n", "\n", "" ], "text/plain": [ - " before after learning%\n", - "sample \n", - "sokal hoax 3.786502 3.647738 0.138764\n", - "good_ml 1.941784 1.452132 0.489652\n", - "Theory o. general relativity 1.929925 1.221003 0.708922\n", - "email_to_fauci 1.479151 1.110680 0.368471\n", - "Schmidhuber 2023 Subjective Novelty, Surprise 0.865227 0.701818 0.163409\n", - "AI gen fake paper 0.619803 0.611503 0.008300\n", - "I have a dream 0.317971 0.212919 0.105052\n", - "enron_email1 1.359979 0.161322 1.198657\n", - "openai_board_ann 0.548308 0.155900 0.392407\n", - "wikipedia on LK-99 0.690145 0.140681 0.549463\n", - "bad_ml 0.405684 0.089550 0.316133\n", - "lorem ipsum 0.120013 -0.016178 0.136191" + " before after \\\n", + "sample \n", + "email_to_fauci 21.060320 18.597586 \n", + "wikipedia on LK-99 18.052301 16.928230 \n", + "openai_board_ann 8.552927 7.572013 \n", + "bad_ml 12.456705 12.279064 \n", + "good_ml 22.663946 22.733511 \n", + "AI gen fake paper 7.091303 7.853880 \n", + "Schmidhuber 2023 Subjective Novelty, Surprise 28.309990 29.557880 \n", + "\n", + " improvement improvement% \\\n", + "sample \n", + "email_to_fauci 2.462734 0.116937 \n", + "wikipedia on LK-99 1.124071 0.062267 \n", + "openai_board_ann 0.980914 0.114688 \n", + "bad_ml 0.177641 0.014261 \n", + "good_ml -0.069565 -0.003069 \n", + "AI gen fake paper -0.762577 -0.107537 \n", + "Schmidhuber 2023 Subjective Novelty, Surprise -1.247890 -0.044080 \n", + "\n", + " suprising summarizable \n", + "sample \n", + "email_to_fauci True True \n", + "wikipedia on LK-99 True True \n", + "openai_board_ann False True \n", + "bad_ml False True \n", + "good_ml True False \n", + "AI gen fake paper False False \n", + "Schmidhuber 2023 Subjective Novelty, Surprise True False " ] }, - "execution_count": 42, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "a = df[df.model==\"TheBloke/Llama-2-7B-GPTQ\"].set_index('sample').drop(columns=['model', 'in_training'])\n", - "b = df[df.model==\"TheBloke/Llama-2-13B-GPTQ\"].set_index('sample').drop(columns=['model', 'in_training'])\n", - "d = (a-b).sort_values(\"after\", ascending=False)\n", - "print('big numbers (for after and learning) mean the smaller model was more confused')\n", - "print(d.to_markdown())\n", - "d\n" + "df[\"improvement%\"] = (df[\"before\"] - df[\"after\"]) / df[\"before\"] \n", + "df[\"improvement\"] = (df[\"before\"] - df[\"after\"]) \n", + "df[\"summarizable\"] = df[\"improvement\"] > .0\n", + "df['suprising'] = df[\"before\"] > 15\n", + "df['BS'] = ~df[\"summarizable\"] | ~df['suprising']\n", + "for n,d in df.groupby(\"model\"):\n", + " print(n)\n", + " d = d[[ 'before', 'after', \"improvement\", \"improvement%\", 'suprising', 'summarizable', ]].sort_values(\"improvement\", ascending=False)\n", + " print(d.to_markdown())\n", + " display(d)" ] }, { @@ -3047,6 +900,13 @@ "outputs": [], "source": [] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -3071,7 +931,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.0rc1" } }, "nbformat": 4, diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 2adc948..0000000 --- a/requirements.txt +++ /dev/null @@ -1,1464 +0,0 @@ ---extra-index-url https://download.pytorch.org/whl/cu118 - -accelerate==0.25.0 ; python_version >= "3.10" and python_version < "3.13" \ - --hash=sha256:c7bb817eb974bba0ff3ea1ba0f24d55afb86d50e3d4fe98d6922dc69cf2ccff1 \ - --hash=sha256:ecf55b0ab278a1dac8539dde0d276977aff04683f07ede73eaf02478538576a1 -aiohttp==3.9.1 ; python_version >= "3.10" and python_version < "3.13" \ - --hash=sha256:02ab6006ec3c3463b528374c4cdce86434e7b89ad355e7bf29e2f16b46c7dd6f \ - --hash=sha256:04fa38875e53eb7e354ece1607b1d2fdee2d175ea4e4d745f6ec9f751fe20c7c \ - --hash=sha256:0b0a6a36ed7e164c6df1e18ee47afbd1990ce47cb428739d6c99aaabfaf1b3af \ - --hash=sha256:0d406b01a9f5a7e232d1b0d161b40c05275ffbcbd772dc18c1d5a570961a1ca4 \ - --hash=sha256:0e49b08eafa4f5707ecfb321ab9592717a319e37938e301d462f79b4e860c32a \ - 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