Alternatives and similar repositories for Individual-Neurons-Pitfalls:

Users that are interested in Individual-Neurons-Pitfalls are comparing it to the libraries listed below

• technion-cs-nlp / bias-probing
  Debiasing Methods in Natural Language Understanding Make Bias More Accessible: Code and Data
  ☆14Updated 3 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆21Updated 4 years ago
• ekinakyurek / influence
  Code for "Tracing Knowledge in Language Models Back to the Training Data"
  ☆37Updated 2 years ago
• yanaiela / pararel
  ☆44Updated last year
• aNOnWhyMooS / connectivity
  ☆18Updated last year
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated 2 years ago
• jacobandreas / geca
  ☆42Updated 4 years ago
• krishnap25 / mauve-experiments
  ☆38Updated 11 months ago
• dongxinshuai / ASCC
  ☆24Updated 3 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 2 years ago
• yanaiela / amnesic_probing
  ☆39Updated 3 years ago
• keyonvafa / sequential-rationales
  Rationales for Sequential Predictions
  ☆40Updated 3 years ago
• leo-liuzy / probe-across-time
  ☆22Updated 3 years ago
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆75Updated last year
• adihaviv / idiomem
  ☆9Updated last year
• belindal / state-probes
  Code for the paper "Implicit Representations of Meaning in Neural Language Models"
  ☆53Updated 2 years ago
• technion-cs-nlp / irm-for-nli
  ☆11Updated 2 years ago
• sustcsonglin / TN-PCFG
  source code of NAACL2021 "PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols“ and ACL2021 main conferenc…
  ☆49Updated 3 weeks ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆90Updated 3 years ago
• allenai / tailor
  ☆31Updated last year
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated last year
• xiye17 / EvalQAExpl
  Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.
  ☆18Updated 4 years ago
• qkaren / COLD_decoding
  ☆106Updated 2 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• ekinakyurek / lexical
  Paper: Lexicon Learning for Few-Shot Neural Sequence Modeling
  ☆16Updated 3 years ago
• swarnaHub / ExplaGraphs
  [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
  ☆11Updated 2 years ago
• McGill-NLP / FaithDial
  ☆48Updated 2 years ago
• INK-USC / XCSR
  Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"
  ☆22Updated 3 years ago
• kernelmachine / demix-data
  Benchmark API for Multidomain Language Modeling
  ☆24Updated 2 years ago