justinchiu / openlogprobsLinks
Extract full next-token probabilities via language model APIs
☆248Updated last year
Alternatives and similar repositories for openlogprobs
Users that are interested in openlogprobs are comparing it to the libraries listed below
Sorting:
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆232Updated last year
- ☆144Updated 3 months ago
- RuLES: a benchmark for evaluating rule-following in language models☆242Updated 9 months ago
- ☆132Updated 2 years ago
- Erasing concepts from neural representations with provable guarantees☆240Updated 10 months ago
- Keeping language models honest by directly eliciting knowledge encoded in their activations.☆215Updated last week
- Mechanistic Interpretability Visualizations using React☆303Updated last year
- ☆29Updated last year
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆131Updated 3 years ago
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆234Updated last week
- Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)☆198Updated last year
- Functional Benchmarks and the Reasoning Gap☆90Updated last year
- ☆115Updated 2 weeks ago
- Steering vectors for transformer language models in Pytorch / Huggingface☆134Updated 10 months ago
- Draw more samples☆198Updated last year
- A puzzle to learn about prompting☆135Updated 2 years ago
- Website for hosting the Open Foundation Models Cheat Sheet.☆269Updated 7 months ago
- Utilities for the HuggingFace transformers library☆72Updated 2 years ago
- Experiments for efforts to train a new and improved t5☆76Updated last year
- ☆260Updated last year
- Code for the paper "Fishing for Magikarp"☆176Updated 7 months ago
- A toolkit for describing model features and intervening on those features to steer behavior.☆223Updated last week
- code for training & evaluating Contextual Document Embedding models☆201Updated 7 months ago
- Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'☆234Updated 5 months ago
- Tools for understanding how transformer predictions are built layer-by-layer☆554Updated 4 months ago
- ☆112Updated 10 months ago
- Understand and test language model architectures on synthetic tasks.☆246Updated 2 months ago
- ☆124Updated 2 months ago
- ☆316Updated last year
- A MAD laboratory to improve AI architecture designs 🧪☆135Updated last year