Alternatives and similar repositories for Automatic-Circuit-Discovery:

Users that are interested in Automatic-Circuit-Discovery are comparing it to the libraries listed below

• HoagyC / sparse_coding
  Using sparse coding to find distributed representations used by neural networks.
  ☆213Updated last year
• TransformerLensOrg / CircuitsVis
  Mechanistic Interpretability Visualizations using React
  ☆232Updated 2 months ago
• neelnanda-io / 1L-Sparse-Autoencoder
  ☆116Updated last year
• redwoodresearch / Easy-Transformer
  ☆109Updated 6 months ago
• saprmarks / feature-circuits
  ☆142Updated 3 weeks ago
• EleutherAI / delphi
  ☆151Updated this week
• ai-safety-foundation / sparse_autoencoder
  Sparse Autoencoder for Mechanistic Interpretability
  ☆216Updated 7 months ago
• nrimsky / CAA
  Steering Llama 2 with Contrastive Activation Addition
  ☆123Updated 8 months ago
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆182Updated 2 months ago
• jacobdunefsky / transcoder_circuits
  ☆55Updated 3 months ago
• UFO-101 / auto-circuit
  A library for efficient patching and automatic circuit discovery.
  ☆53Updated this week
• nrimsky / LM-exp
  LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces
  ☆88Updated last year
• saprmarks / dictionary_learning
  ☆243Updated last week
• Aaquib111 / edge-attribution-patching
  Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"
  ☆29Updated 8 months ago
• davidbau / baukit
  ☆190Updated 11 months ago
• adamkarvonen / SAEBench
  ☆52Updated this week
• montemac / activation_additions
  Algebraic value editing in pretrained language models
  ☆62Updated last year
• ndif-team / nnsight
  The nnsight package enables interpreting and manipulating the internals of deep learned models.
  ☆490Updated this week
• KihoPark / linear_rep_geometry
  ☆86Updated last week
• steering-vectors / steering-vectors
  Steering vectors for transformer language models in Pytorch / Huggingface
  ☆88Updated this week
• OpenMOSS / Language-Model-SAEs
  For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research.
  ☆92Updated this week
• jbloomAus / SAELens
  Training Sparse Autoencoders on Language Models
  ☆619Updated this week
• wesg52 / sparse-probing-paper
  Sparse probing paper full code.
  ☆53Updated last year
• Dakingrai / awesome-mechanistic-interpretability-lm-papers
  ☆117Updated 2 months ago
• saprmarks / geometry-of-truth
  ☆76Updated 6 months ago
• timaeus-research / devinterp
  Tools for studying developmental interpretability in neural networks.
  ☆84Updated 3 weeks ago
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆112Updated 2 years ago
• ruizheliUOA / Awesome-Interpretability-in-Large-Language-Models
  This repository collects all relevant resources about interpretability in LLMs
  ☆321Updated 3 months ago
• callummcdougall / ARENA_2.0
  Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
  ☆208Updated last year
• amack315 / unsupervised-steering-vectors
  ☆29Updated 9 months ago