redwoodresearch / mlab
Machine Learning for Alignment Bootcamp
☆72Updated 3 years ago
Alternatives and similar repositories for mlab:
Users that are interested in mlab are comparing it to the libraries listed below
- Machine Learning for Alignment Bootcamp (MLAB).☆29Updated 3 years ago
- Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.☆211Updated last year
- METR Task Standard☆146Updated 3 months ago
- Mechanistic Interpretability Visualizations using React☆242Updated 4 months ago
- Tools for studying developmental interpretability in neural networks.☆89Updated 3 months ago
- (Model-written) LLM evals library☆18Updated 4 months ago
- ☆10Updated 9 months ago
- ControlArena is a suite of realistic settings, mimicking complex deployment environments, for running control evaluations. This is an alp…☆54Updated this week
- Inference API for many LLMs and other useful tools for empirical research☆40Updated last week
- Keeping language models honest by directly eliciting knowledge encoded in their activations.☆201Updated last week
- ☆14Updated 3 weeks ago
- Machine Learning for Alignment Bootcamp☆25Updated last year
- ☆223Updated 7 months ago
- Vivaria is METR's tool for running evaluations and conducting agent elicitation research.☆90Updated last week
- Redwood Research's transformer interpretability tools☆14Updated 3 years ago
- we got you bro☆35Updated 9 months ago
- ☆121Updated last year
- Mechanistic Interpretability for Transformer Models☆50Updated 2 years ago
- 🧠 Starter templates for doing interpretability research☆70Updated last year
- ☆62Updated 2 years ago
- ☆528Updated this week
- The Happy Faces Benchmark☆15Updated last year
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆120Updated 2 years ago
- ☆68Updated last year
- ☆91Updated last month
- A curated list of awesome resources for Artificial Intelligence Alignment research☆70Updated last year
- Sparse Autoencoder for Mechanistic Interpretability☆243Updated 9 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆199Updated 4 months ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆559Updated this week
- ☆265Updated last year