Alternatives and similar repositories for LLMsKnow

Users that are interested in LLMsKnow are comparing it to the libraries listed below

• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆178Updated 4 months ago
• ucl-dark / llm_debate
  Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"
  ☆116Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆125Updated 2 months ago
• nrimsky / CAA
  Steering Llama 2 with Contrastive Activation Addition
  ☆178Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆63Updated 9 months ago
• tonychenxyz / selfie
  This repository contains the code and data for the paper "SelfIE: Self-Interpretation of Large Language Model Embeddings" by Haozhe Chen,…
  ☆51Updated 8 months ago
• roeehendel / icl_task_vectors
  ☆96Updated last year
• OpenMOSS / Language-Model-SAEs
  For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research.
  ☆146Updated this week
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆78Updated last year
• nrimsky / LM-exp
  LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces
  ☆95Updated last year
• zjunlp / KnowledgeCircuits
  [NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
  ☆155Updated 6 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆116Updated last year
• zankner / CLoud
  Critique-out-Loud Reward Models
  ☆70Updated 10 months ago
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆99Updated last week
• jacobdunefsky / transcoder_circuits
  ☆165Updated 9 months ago
• Zhiyuan-Zeng / EvalTree
  [COLM 2025] EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
  ☆24Updated last month
• shengliu66 / ICV
  Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
  ☆185Updated 6 months ago
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• MikaStars39 / FeatureAlignment
  FeatureAlignment = Alignment + Mechanistic Interpretability
  ☆29Updated 5 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆111Updated 6 months ago
• activatedgeek / calibration-tuning
  ☆52Updated 4 months ago
• Luckfort / CD
  [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
  ☆80Updated 7 months ago
• saprmarks / geometry-of-truth
  ☆91Updated last year
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆72Updated last year
• edenbiran / HoppingTooLate
  Exploring the Limitations of Large Language Models on Multi-Hop Queries
  ☆27Updated 6 months ago
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆122Updated 9 months ago
• Glaciohound / LM-Steer
  Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)
  ☆124Updated last month
• balevinstein / Probes
  ☆55Updated 2 years ago
• JacobPfau / fillerTokens
  ☆72Updated last year
• deeplearning-wisc / args
  ☆44Updated last year