oli-clive-griffin / crosscodeLinks
A library for training crosscoders
☆12Updated 5 months ago
Alternatives and similar repositories for crosscode
Users that are interested in crosscode are comparing it to the libraries listed below
Sorting:
- A tiny easily hackable implementation of a feature dashboard.☆15Updated last month
- Open source replication of Anthropic's Crosscoders for Model Diffing☆60Updated last year
- Sparse Autoencoder Training Library☆55Updated 6 months ago
- ☆36Updated last year
- ☆56Updated last year
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆20Updated 10 months ago
- ☆79Updated last month
- A library for efficient patching and automatic circuit discovery.☆80Updated 4 months ago
- Engine for collecting, uploading, and downloading model activations☆24Updated 7 months ago
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆225Updated last week
- ☆22Updated last year
- ☆143Updated 2 months ago
- ☆17Updated last week
- Attribution-based Parameter Decomposition☆31Updated 5 months ago
- Applying SAEs for fine-grained control☆24Updated 11 months ago
- Modified to support crosscoder training.☆24Updated last month
- ☆16Updated last month
- ☆132Updated 2 years ago
- Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"☆13Updated last year
- Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.☆31Updated 7 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆84Updated 11 months ago
- Unified access to Large Language Model modules using NNsight☆59Updated last week
- Experiments with representation engineering☆13Updated last year
- ☆17Updated last year
- Tools for studying developmental interpretability in neural networks.☆114Updated 4 months ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆130Updated 3 years ago
- Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from e…☆28Updated last year
- ☆29Updated last year
- ☆15Updated 4 months ago
- ☆19Updated 7 months ago