yash-srivastava19 / arrakisLinks
Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.
☆31Updated 4 months ago
Alternatives and similar repositories for arrakis
Users that are interested in arrakis are comparing it to the libraries listed below
Sorting:
- ☆81Updated 6 months ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆58Updated 10 months ago
- ☆141Updated 2 weeks ago
- Attribution-based Parameter Decomposition☆29Updated 2 months ago
- Engine for collecting, uploading, and downloading model activations☆22Updated 4 months ago
- Open source interpretability artefacts for R1.☆157Updated 4 months ago
- 🧠 Starter templates for doing interpretability research☆73Updated 2 years ago
- Mechanistic Interpretability Visualizations using React☆281Updated 8 months ago
- ☆28Updated 10 months 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
- Sparse Autoencoder Training Library☆54Updated 4 months ago
- ☆126Updated last year
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆214Updated 8 months ago
- we got you bro☆36Updated last year
- code for training & evaluating Contextual Document Embedding models☆197Updated 3 months ago
- Steering vectors for transformer language models in Pytorch / Huggingface☆122Updated 6 months ago
- Extract full next-token probabilities via language model APIs☆247Updated last year
- CausalGym: Benchmarking causal interpretability methods on linguistic tasks☆46Updated 9 months ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆129Updated 2 years ago
- ☆33Updated last year
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆207Updated last week
- ☆105Updated 6 months ago
- A library for efficient patching and automatic circuit discovery.☆76Updated last month
- Compiling useful links, papers, benchmarks, ideas, etc.☆45Updated 5 months ago
- PyTorch library for Active Fine-Tuning☆89Updated 6 months ago
- ☆68Updated this week
- A collection of different ways to implement accessing and modifying internal model activations for LLMs☆19Updated 10 months ago
- Erasing concepts from neural representations with provable guarantees☆232Updated 7 months ago
- A toolkit for describing model features and intervening on those features to steer behavior.☆198Updated 9 months ago
- ☆98Updated 4 months ago