JasonGross / guarantees-based-mechanistic-interpretabilityLinks
☆17Updated last week
Alternatives and similar repositories for guarantees-based-mechanistic-interpretability
Users that are interested in guarantees-based-mechanistic-interpretability are comparing it to the libraries listed below
Sorting:
- Harmonic Datasets☆52Updated last year
- ☆36Updated last year
- ☆153Updated 5 months ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆135Updated 3 years ago
- LLMs + Lean, on your laptop or in the cloud☆199Updated 4 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
- ☆88Updated last month
- Sparse Autoencoder Training Library☆56Updated 9 months ago
- Tools for studying developmental interpretability in neural networks.☆126Updated last month
- A library for mechanistic anomaly detection☆22Updated last year
- A library for efficient patching and automatic circuit discovery.☆88Updated last month
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆241Updated 2 weeks ago
- ☆66Updated 2 years ago
- ☆112Updated last year
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆83Updated last year
- Tutorial on neural theorem proving☆177Updated 2 years ago
- LeanUniverse: A Library for Consistent and Scalable Lean4 Dataset Management☆75Updated last year
- ☆133Updated 3 months ago
- Steering vectors for transformer language models in Pytorch / Huggingface☆140Updated 11 months ago
- ☆78Updated 3 years ago
- Attribution-based Parameter Decomposition☆33Updated 8 months ago
- ☆132Updated 2 years ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆63Updated last year
- ☆70Updated last month
- Applying SAEs for fine-grained control☆25Updated last year
- A toolkit that provides a range of model diffing techniques including a UI to visualize them interactively.☆57Updated this week
- Neural theorem proving tutorial, version II☆40Updated last year
- Probabilistic programming with large language models☆159Updated 2 months ago
- PyTorch and NNsight implementation of AtP* (Kramar et al 2024, DeepMind)☆20Updated last year
- Formalizing stochastic doubly-efficient debate☆118Updated last year