dit7ya / awesome-ai-alignment
A curated list of awesome resources for Artificial Intelligence Alignment research
☆64Updated last year
Related projects ⓘ
Alternatives and complementary repositories for awesome-ai-alignment
- ☆44Updated last month
- 🧠 Starter templates for doing interpretability research☆63Updated last year
- Keeping language models honest by directly eliciting knowledge encoded in their activations.☆186Updated this week
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆62Updated last year
- A puzzle to learn about prompting☆121Updated last year
- we got you bro☆33Updated 3 months ago
- ☆188Updated last month
- ☆122Updated 2 weeks ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆63Updated 2 years ago
- LLM experiments done during SERI MATS - focusing on activation steering / interpreting activation spaces☆78Updated last year
- Mechanistic Interpretability Visualizations using React☆200Updated 4 months ago
- ☆64Updated last year
- ☆98Updated 3 months ago
- Machine Learning for Alignment Bootcamp (MLAB).☆22Updated 2 years ago
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆200Updated 9 months ago
- A dataset of alignment research and code to reproduce it☆69Updated last year
- ☆105Updated last month
- ☆90Updated 4 months ago
- ☆24Updated 7 months ago
- Erasing concepts from neural representations with provable guarantees☆209Updated last week
- Steering vectors for transformer language models in Pytorch / Huggingface☆65Updated last month
- Mechanistic Interpretability for Transformer Models☆49Updated 2 years ago
- METR Task Standard☆124Updated 3 weeks ago
- Resources from the EleutherAI Math Reading Group☆51Updated last month
- ☆253Updated 8 months ago
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆97Updated 2 years ago
- ☆101Updated 3 months ago
- Tools for understanding how transformer predictions are built layer-by-layer☆430Updated 5 months ago
- This repository collects all relevant resources about interpretability in LLMs☆289Updated 3 weeks ago
- Tools for studying developmental interpretability in neural networks.☆77Updated last week