Sparsify transformers with SAEs and transcoders
☆696Updated this week
Alternatives and similar repositories for sparsify
Users that are interested in sparsify are comparing it to the libraries listed below
Sorting:
- Training Sparse Autoencoders on Language Models☆1,219Updated this week
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆243Updated this week
- ☆396Aug 21, 2025Updated 6 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆247Updated this week
- ☆571Jul 19, 2024Updated last year
- ☆150Dec 30, 2025Updated 2 months ago
- Sparse Autoencoder Training Library☆55May 1, 2025Updated 10 months ago
- Sparse Autoencoder for Mechanistic Interpretability☆292Jul 20, 2024Updated last year
- ☆209Oct 14, 2025Updated 4 months ago
- A library for mechanistic interpretability of GPT-style language models☆3,112Updated this week
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆825Updated this week
- Using sparse coding to find distributed representations used by neural networks.☆297Nov 10, 2023Updated 2 years ago
- ☆89Dec 18, 2025Updated 2 months ago
- Performant framework for training, analyzing and visualizing Sparse Autoencoders (SAEs) and their frontier variants.☆194Feb 18, 2026Updated last week
- ☆155Feb 16, 2026Updated 2 weeks ago
- ☆199Nov 17, 2024Updated last year
- Mechanistic Interpretability Visualizations using React☆326Dec 18, 2024Updated last year
- ☆134Oct 28, 2023Updated 2 years ago
- Training code for Sparse Autoencoders on Embedding models☆39Feb 27, 2025Updated last year
- ☆58Nov 19, 2024Updated last year
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆863Jan 29, 2026Updated last month
- This repository collects all relevant resources about interpretability in LLMs☆390Nov 1, 2024Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆73Jan 16, 2026Updated last month
- Open source replication of Anthropic's Crosscoders for Model Diffing☆64Oct 27, 2024Updated last year
- Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"☆13Jul 18, 2024Updated last year
- Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)☆60Jul 24, 2025Updated 7 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆168Feb 22, 2026Updated last week
- Steering Llama 2 with Contrastive Activation Addition☆212May 23, 2024Updated last year
- ☆24Aug 23, 2025Updated 6 months ago
- Tools for understanding how transformer predictions are built layer-by-layer☆567Aug 7, 2025Updated 6 months ago
- A library for training crosscoders☆16May 28, 2025Updated 9 months ago
- A library for making RepE control vectors☆689Sep 24, 2025Updated 5 months ago
- ☆24Jan 28, 2025Updated last year
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆84Nov 27, 2024Updated last year
- PAIR.withgoogle.com and friend's work on interpretability methods☆221Feb 4, 2026Updated 3 weeks ago
- ☆271Oct 1, 2024Updated last year
- Open source interpretability artefacts for R1.☆171Apr 21, 2025Updated 10 months ago
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆17Mar 31, 2025Updated 11 months ago
- ☆59Jan 17, 2025Updated last year