Alternatives and similar repositories for Easy-Transformer

Users that are interested in Easy-Transformer are comparing it to the libraries listed below

• UFO-101 / auto-circuit
  A library for efficient patching and automatic circuit discovery.
  ☆70Updated 2 months ago
• ArthurConmy / Automatic-Circuit-Discovery
  ☆231Updated 9 months ago
• saprmarks / geometry-of-truth
  ☆87Updated 11 months ago
• jacobdunefsky / transcoder_circuits
  ☆140Updated 7 months ago
• Aaquib111 / edge-attribution-patching
  Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"
  ☆40Updated 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 …
  ☆192Updated last week
• saprmarks / feature-circuits
  ☆182Updated 3 months ago
• KihoPark / linear_rep_geometry
  ☆99Updated 5 months ago
• adamkarvonen / SAEBench
  ☆105Updated last month
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆170Updated 2 months ago
• HoagyC / sparse_coding
  Using sparse coding to find distributed representations used by neural networks.
  ☆259Updated last year
• ckkissane / crosscoder-model-diff-replication
  Open source replication of Anthropic's Crosscoders for Model Diffing
  ☆56Updated 8 months ago
• nrimsky / CAA
  Steering Llama 2 with Contrastive Activation Addition
  ☆162Updated last year
• Dakingrai / awesome-mechanistic-interpretability-lm-papers
  ☆170Updated 7 months ago
• wesg52 / sparse-probing-paper
  Sparse probing paper full code.
  ☆58Updated last year
• hannamw / EAP-IG
  ☆40Updated last month
• montemac / activation_additions
  Algebraic value editing in pretrained language models
  ☆65Updated last year
• roeehendel / icl_task_vectors
  ☆95Updated last year
• steering-vectors / steering-vectors
  Steering vectors for transformer language models in Pytorch / Huggingface
  ☆112Updated 4 months ago
• OpenMOSS / Language-Model-SAEs
  For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research.
  ☆135Updated this week
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆206Updated 7 months ago
• neelnanda-io / 1L-Sparse-Autoencoder
  ☆122Updated last year
• davidbau / baukit
  ☆216Updated last year
• nrimsky / LM-exp
  LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces
  ☆95Updated last year
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆53Updated 2 months ago
• neelnanda-io / Crosscoders
  ☆47Updated 7 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆99Updated 3 weeks ago
• TransformerLensOrg / CircuitsVis
  Mechanistic Interpretability Visualizations using React
  ☆260Updated 6 months ago
• saprmarks / dictionary_learning
  ☆314Updated last month
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆94Updated 3 years ago