srush / raspy
An interactive exploration of Transformer programming.
☆264Updated last year
Alternatives and similar repositories for raspy
Users that are interested in raspy are comparing it to the libraries listed below
Sorting:
- An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"☆312Updated 8 months ago
- Puzzles for exploring transformers☆348Updated 2 years ago
- ☆533Updated last year
- ☆431Updated 7 months ago
- A puzzle to learn about prompting☆128Updated 2 years ago
- Extract full next-token probabilities via language model APIs☆244Updated last year
- ☆217Updated 10 months ago
- Functional local implementations of main model parallelism approaches☆95Updated 2 years ago
- Mechanistic Interpretability Visualizations using React☆245Updated 5 months ago
- Neural Networks and the Chomsky Hierarchy☆206Updated last year
- ☆265Updated last year
- ☆121Updated last year
- Resources from the EleutherAI Math Reading Group☆53Updated 2 months ago
- ☆166Updated last year
- git extension for {collaborative, communal, continual} model development☆213Updated 6 months ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆310Updated 2 years ago
- Solve puzzles. Learn CUDA.☆64Updated last year
- Automatic gradient descent☆207Updated last year
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆570Updated this week
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆189Updated 11 months ago
- ☆143Updated 2 years ago
- Emergent world representations: Exploring a sequence model trained on a synthetic task☆181Updated last year
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆201Updated 5 months ago
- Erasing concepts from neural representations with provable guarantees☆228Updated 3 months ago
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆213Updated last year
- A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations☆189Updated 3 years ago
- seqax = sequence modeling + JAX☆155Updated last month
- Simple Transformer in Jax☆136Updated 10 months ago
- Project 2 (Building Large Language Models) for Stanford CS324: Understanding and Developing Large Language Models (Winter 2022)☆104Updated 2 years ago
- Understand and test language model architectures on synthetic tasks.☆195Updated 2 months ago