Alternatives and similar repositories for Awesome-Interpretability-in-Large-Language-Models

Users that are interested in Awesome-Interpretability-in-Large-Language-Models are comparing it to the libraries listed below

• Dakingrai / awesome-mechanistic-interpretability-lm-papers
  ☆212Updated 11 months ago
• HoagyC / sparse_coding
  Using sparse coding to find distributed representations used by neural networks.
  ☆283Updated 2 years ago
• jacobdunefsky / transcoder_circuits
  ☆188Updated last year
• stanfordnlp / pyvene
  Stanford NLP Python library for understanding and improving PyTorch models via interventions
  ☆828Updated last month
• ai-safety-foundation / sparse_autoencoder
  Sparse Autoencoder for Mechanistic Interpretability
  ☆284Updated last year
• ArthurConmy / Automatic-Circuit-Discovery
  ☆252Updated last year
• cooperleong00 / Awesome-LLM-Interpretability
  A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..
  ☆284Updated 7 months ago
• saprmarks / feature-circuits
  ☆194Updated last month
• saprmarks / dictionary_learning
  ☆361Updated 2 months ago
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆140Updated last year
• adamkarvonen / SAEBench
  ☆134Updated 3 weeks ago
• nrimsky / CAA
  Steering Llama 2 with Contrastive Activation Addition
  ☆192Updated last year
• steering-vectors / steering-vectors
  Steering vectors for transformer language models in Pytorch / Huggingface
  ☆129Updated 8 months ago
• davidbau / baukit
  ☆237Updated last year
• EleutherAI / delphi
  Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …
  ☆225Updated last week
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆226Updated 11 months ago
• AlignmentResearch / tuned-lens
  Tools for understanding how transformer predictions are built layer-by-layer
  ☆541Updated 3 months ago
• EleutherAI / sparsify
  Sparsify transformers with SAEs and transcoders
  ☆654Updated this week
• TransformerLensOrg / CircuitsVis
  Mechanistic Interpretability Visualizations using React
  ☆299Updated 10 months ago
• interpretingdl / eacl2024_transformer_interpretability_tutorial
  Materials for EACL2024 tutorial: Transformer-specific Interpretability
  ☆60Updated last year
• decoderesearch / SAELens
  Training Sparse Autoencoders on Language Models
  ☆1,047Updated this week
• nrimsky / LM-exp
  LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces
  ☆98Updated 2 years ago
• ARBORproject / arborproject.github.io
  ☆82Updated 8 months ago
• openai / sparse_autoencoder
  ☆541Updated last year
• redwoodresearch / Easy-Transformer
  ☆129Updated last year
• OpenMOSS / Language-Model-SAEs
  Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs) and their frontier variants.
  ☆163Updated this week
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆140Updated 4 months ago
• shehper / sparse-dictionary-learning
  An Open Source Implementation of Anthropic's Paper: "Towards Monosemanticity: Decomposing Language Models with Dictionary Learning"
  ☆49Updated last year
• ndif-team / nnsight
  The nnsight package enables interpreting and manipulating the internals of deep learned models.
  ☆697Updated this week
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆116Updated 2 months ago