Alternatives and similar repositories for Crosscoders:

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

• ckkissane / crosscoder-model-diff-replication
  Open source replication of Anthropic's Crosscoders for Model Diffing
  ☆40Updated 4 months ago
• jbloomAus / SAEDashboard
  ☆31Updated this week
• EleutherAI / delphi
  ☆153Updated this week
• jacobdunefsky / transcoder_circuits
  ☆57Updated 3 months ago
• adamkarvonen / SAEBench
  ☆58Updated this week
• tim-lawson / mlsae
  Multi-Layer Sparse Autoencoders (ICLR 2025)
  ☆18Updated 2 weeks ago
• UFO-101 / auto-circuit
  A library for efficient patching and automatic circuit discovery.
  ☆54Updated 2 weeks ago
• amack315 / unsupervised-steering-vectors
  ☆29Updated 10 months ago
• neelnanda-io / 1L-Sparse-Autoencoder
  ☆120Updated last year
• nrimsky / CAA
  Steering Llama 2 with Contrastive Activation Addition
  ☆124Updated 9 months ago
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆42Updated 4 months ago
• HoagyC / sparse_coding
  Using sparse coding to find distributed representations used by neural networks.
  ☆217Updated last year
• tilde-research / sieve
  Applying SAEs for fine-grained control
  ☆15Updated 2 months ago
• saprmarks / feature-circuits
  ☆144Updated this week
• OpenMOSS / Language-Model-SAEs
  For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research.
  ☆94Updated this week
• steering-vectors / steering-vectors
  Steering vectors for transformer language models in Pytorch / Huggingface
  ☆88Updated last week
• redwoodresearch / Easy-Transformer
  ☆110Updated 6 months ago
• ArthurConmy / Automatic-Circuit-Discovery
  ☆207Updated 5 months ago
• Aaquib111 / edge-attribution-patching
  Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"
  ☆29Updated 9 months ago
• google-deepmind / mishax
  ☆122Updated 2 weeks ago
• KihoPark / linear_rep_geometry
  ☆88Updated 2 weeks ago
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆183Updated 2 months ago
• slavachalnev / SAE-TS
  Improving Steering Vectors by Targeting Sparse Autoencoder Features
  ☆15Updated 3 months ago
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆140Updated 4 months ago
• montemac / activation_additions
  Algebraic value editing in pretrained language models
  ☆62Updated last year
• callummcdougall / sae_visualizer
  ☆26Updated 10 months ago
• HugoFry / mats_sae_training_for_ViTs
  ☆17Updated 10 months ago
• saprmarks / dictionary_learning
  ☆246Updated 2 weeks ago
• Dakingrai / awesome-mechanistic-interpretability-lm-papers
  ☆120Updated 3 months ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆27Updated 9 months ago