anthropics / PySvelteLinks
A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations
☆202Updated 4 years ago
Alternatives and similar repositories for PySvelte
Users that are interested in PySvelte are comparing it to the libraries listed below
Sorting:
- Mechanistic Interpretability for Transformer Models☆53Updated 3 years ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆132Updated 3 years ago
- Keeping language models honest by directly eliciting knowledge encoded in their activations.☆216Updated last week
- Tools for studying developmental interpretability in neural networks.☆123Updated 3 weeks ago
- Emergent world representations: Exploring a sequence model trained on a synthetic task☆198Updated 2 years ago
- ☆132Updated 2 years ago
- 🧠 Starter templates for doing interpretability research☆76Updated 2 years ago
- Mechanistic Interpretability Visualizations using React☆310Updated last year
- Utilities for the HuggingFace transformers library☆74Updated 3 years ago
- ☆264Updated last year
- The Happy Faces Benchmark☆15Updated 2 years ago
- Erasing concepts from neural representations with provable guarantees☆242Updated 11 months ago
- ☆29Updated last year
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆238Updated last year
- Redwood Research's transformer interpretability tools☆15Updated 3 years ago
- ☆283Updated last year
- Neural Networks and the Chomsky Hierarchy☆211Updated last year
- Attribution-based Parameter Decomposition☆33Updated 7 months ago
- A dataset of alignment research and code to reproduce it☆78Updated 2 years ago
- ☆151Updated 4 months ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆83Updated 3 years ago
- we got you bro☆37Updated last year
- ☆324Updated last year
- METR Task Standard☆170Updated 11 months ago
- ☆22Updated 4 years ago
- ☆28Updated 2 years ago
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆237Updated 5 months ago
- ☆64Updated last week
- An interactive exploration of Transformer programming.☆271Updated 2 years ago
- Tools for understanding how transformer predictions are built layer-by-layer☆560Updated 5 months ago