Alternatives and similar repositories for train_sparse_autoencoder

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

• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆163Updated 7 months ago
• Aaquib111 / edge-attribution-patching
  Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"
  ☆45Updated last year
• explanare / ravel
  Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
  ☆57Updated 3 months ago
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆39Updated 5 months ago
• MaheepChaudhary / SAE-Ravel
  Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the p…
  ☆12Updated last year
• hannamw / EAP-IG
  ☆71Updated 6 months ago
• bpwu1 / confidence-regulation-neurons
  Confidence Regulation Neurons in Language Models (NeurIPS 2024)
  ☆15Updated last year
• jacobdunefsky / llm-steering-opt
  Tools for optimizing steering vectors in LLMs.
  ☆19Updated 9 months ago
• milesaturpin / cot-unfaithfulness
  ☆51Updated 2 years ago
• ckkissane / crosscoder-model-diff-replication
  Open source replication of Anthropic's Crosscoders for Model Diffing
  ☆63Updated last year
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆141Updated 4 months ago
• adamkarvonen / SAEBench
  ☆143Updated last month
• locuslab / acr-memorization
  ☆37Updated last year
• UFO-101 / auto-circuit
  A library for efficient patching and automatic circuit discovery.
  ☆88Updated last month
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆79Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆70Updated 3 weeks ago
• IBM / sae-steering
  Code to enable layer-level steering in LLMs using sparse auto encoders
  ☆28Updated 4 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆42Updated 2 weeks ago
• nrimsky / CAA
  Steering Llama 2 with Contrastive Activation Addition
  ☆207Updated last year
• DanielSc4 / Dynamic-Activation-Composition
  Materials for "Multi-property Steering of Large Language Models with Dynamic Activation Composition"
  ☆14Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆126Updated 11 months ago
• montemac / activation_additions
  Algebraic value editing in pretrained language models
  ☆67Updated 2 years ago
• slavachalnev / SAE-TS
  Improving Steering Vectors by Targeting Sparse Autoencoder Features
  ☆26Updated last year
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆190Updated 9 months ago
• javiferran / sae_entities
  ☆69Updated 11 months ago
• poloclub / llm-landscape
  NeurIPS'24 - LLM Safety Landscape
  ☆39Updated 3 months ago
• saprmarks / feature-circuits
  ☆206Updated 3 months ago
• ApolloResearch / e2e_sae
  Sparse Autoencoder Training Library
  ☆56Updated 9 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 11 months ago
• jiahai-feng / binding-iclr
  ☆16Updated last year