Alternatives and similar repositories for Awesome-LLM-Interpretability:

Users that are interested in Awesome-LLM-Interpretability are comparing it to the libraries listed below

• ZubinGou / math-evaluation-harness
  A simple toolkit for benchmarking LLMs on mathematical reasoning tasks. 🧮✨
  ☆145Updated 8 months ago
• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆201Updated 3 months ago
• LuckyyySTA / Awesome-LLM-hallucination
  LLM hallucination paper list
  ☆299Updated 10 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆102Updated 9 months ago
• MikaStars39 / FeatureAlignment
  FeatureAlignment = Alignment + Mechanistic Interpretability
  ☆26Updated this week
• OpenMOSS / Language-Model-SAEs
  For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research.
  ☆82Updated this week
• lancopku / label-words-are-anchors
  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
  ☆160Updated 11 months ago
• Dakingrai / awesome-mechanistic-interpretability-lm-papers
  ☆104Updated last month
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆120Updated last month
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆141Updated last year
• nightdessert / Retrieval_Head
  open-source code for paper: Retrieval Head Mechanistically Explains Long-Context Factuality
  ☆170Updated 5 months ago
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆90Updated 2 months ago
• Furyton / awesome-language-model-analysis
  This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers…
  ☆69Updated last month
• voidism / DoLa
  Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
  ☆452Updated 8 months ago
• shuyhere / Awesome-Sparse-Autoencoder
  Collection of Reverse Engineering in Large Model
  ☆31Updated last week
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆86Updated last week
• swj0419 / detect-pretrain-code
  This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…
  ☆215Updated last year
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆141Updated last year
• princeton-nlp / LESS
  [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning
  ☆400Updated 2 months ago
• SuperBruceJia / Awesome-LLM-Self-Consistency
  Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
  ☆85Updated 5 months ago
• lorenzkuhn / semantic_uncertainty
  ☆152Updated 6 months ago
• davidbau / baukit
  ☆184Updated 10 months ago
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆124Updated this week
• llm-as-a-judge / Awesome-LLM-as-a-judge
  ☆164Updated last week
• getao / icae
  The repo for In-context Autoencoder
  ☆101Updated 8 months ago
• boyiwei / alignment-attribution-code
  Official Code for Paper: Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆65Updated 3 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆75Updated 8 months ago
• allenai / reward-bench
  RewardBench: the first evaluation tool for reward models.
  ☆491Updated last week
• ydyjya / LLM-IHS-Explanation
  ☆37Updated 7 months ago
• EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
  Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
  ☆286Updated this week