likenneth / othello_world
Emergent world representations: Exploring a sequence model trained on a synthetic task
☆181Updated last year
Alternatives and similar repositories for othello_world:
Users that are interested in othello_world are comparing it to the libraries listed below
- ☆114Updated 9 months ago
- ☆221Updated 7 months ago
- ☆121Updated last year
- Mechanistic Interpretability Visualizations using React☆242Updated 4 months ago
- ☆175Updated last year
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆120Updated 2 years ago
- [NeurIPS 2023] Learning Transformer Programs☆161Updated 11 months ago
- ☆92Updated 2 months ago
- Mechanistic Interpretability for Transformer Models☆50Updated 2 years ago
- ☆265Updated last year
- ☆111Updated 5 months ago
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆199Updated 4 months ago
- Keeping language models honest by directly eliciting knowledge encoded in their activations.☆201Updated last week
- A library for efficient patching and automatic circuit discovery.☆64Updated 2 weeks ago
- ☆82Updated 8 months ago
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆75Updated last year
- ☆64Updated 2 years ago
- Tools for studying developmental interpretability in neural networks.☆89Updated 3 months ago
- Erasing concepts from neural representations with provable guarantees☆228Updated 3 months ago
- ☆26Updated last year
- Steering vectors for transformer language models in Pytorch / Huggingface☆99Updated 2 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆73Updated 5 months ago
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆189Updated 11 months ago
- Using sparse coding to find distributed representations used by neural networks.☆240Updated last year
- Algebraic value editing in pretrained language models☆64Updated last year
- ☆26Updated 2 years ago
- ☆82Updated 9 months ago
- ☆91Updated 2 months ago
- Tools for understanding how transformer predictions are built layer-by-layer☆489Updated 11 months ago
- Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"☆31Updated 11 months ago