srush / raspy
An interactive exploration of Transformer programming.
☆262Updated last year
Alternatives and similar repositories for raspy:
Users that are interested in raspy are comparing it to the libraries listed below
- An interpreter for RASP as described in the ICML 2021 paper "Thinking Like Transformers"☆308Updated 7 months ago
- Puzzles for exploring transformers☆344Updated 2 years ago
- A puzzle to learn about prompting☆127Updated last year
- Erasing concepts from neural representations with provable guarantees☆228Updated 3 months ago
- ☆430Updated 6 months ago
- git extension for {collaborative, communal, continual} model development☆211Updated 5 months ago
- Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)☆310Updated 2 years ago
- ☆217Updated 9 months ago
- ☆166Updated last year
- Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax☆569Updated this week
- seqax = sequence modeling + JAX☆155Updated 3 weeks ago
- ☆531Updated last year
- ☆143Updated 2 years ago
- Extract full next-token probabilities via language model APIs☆242Updated last year
- Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…☆345Updated 9 months ago
- Resources from the EleutherAI Math Reading Group☆53Updated 2 months ago
- Tools for understanding how transformer predictions are built layer-by-layer☆489Updated 11 months ago
- Train very large language models in Jax.☆204Updated last year
- Inference code for LLaMA models in JAX☆118Updated 11 months ago
- Understand and test language model architectures on synthetic tasks.☆194Updated last month
- Emergent world representations: Exploring a sequence model trained on a synthetic task☆181Updated last year
- JAX implementation of the Llama 2 model☆218Updated last year
- Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference…☆207Updated 3 months ago
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆255Updated last year
- Solve puzzles. Learn CUDA.☆64Updated last year
- Mechanistic Interpretability Visualizations using React☆242Updated 4 months ago
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆211Updated last year
- Implementing RASP transformer programming language https://arxiv.org/pdf/2106.06981.pdf.☆52Updated 3 years ago
- Named Tensors for Legible Deep Learning in JAX☆172Updated this week
- Neural Networks and the Chomsky Hierarchy☆206Updated last year