Kiv / fancy_einsum
Einsum with einops style variable names
☆16Updated 11 months ago
Alternatives and similar repositories for fancy_einsum:
Users that are interested in fancy_einsum are comparing it to the libraries listed below
- Tools for studying developmental interpretability in neural networks.☆89Updated 3 months ago
- Mechanistic Interpretability for Transformer Models☆50Updated 2 years ago
- Mechanistic Interpretability Visualizations using React☆244Updated 4 months ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆120Updated 2 years ago
- METR Task Standard☆146Updated 3 months ago
- ☆121Updated last year
- A python sdk for LLM finetuning and inference on runpod infrastructure☆11Updated this week
- ☆19Updated 2 years ago
- The Happy Faces Benchmark☆15Updated last year
- ☆62Updated 2 years ago
- 🧱 Modula software package☆188Updated last month
- A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations☆188Updated 3 years ago
- Machine Learning for Alignment Bootcamp☆72Updated 3 years ago
- Redwood Research's transformer interpretability tools☆14Updated 3 years ago
- 🧠 Starter templates for doing interpretability research☆70Updated last year
- See the issue board for the current status of active and prospective projects!☆65Updated 3 years ago
- ☆60Updated 3 years ago
- ☆9Updated 5 years ago
- ☆27Updated last year
- Language-annotated Abstraction and Reasoning Corpus☆86Updated last year
- Erasing concepts from neural representations with provable guarantees☆228Updated 3 months ago
- ☆223Updated 7 months ago
- A TinyStories LM with SAEs and transcoders☆11Updated last month
- ☆64Updated 2 years ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆199Updated 4 months ago
- (Model-written) LLM evals library☆18Updated 4 months ago
- ☆38Updated this week
- A library for efficient patching and automatic circuit discovery.☆64Updated 2 weeks ago
- Extract full next-token probabilities via language model APIs☆242Updated last year
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆211Updated last year