microsoft / mechanistic-error-probeLinks
A mechanistic approach for understanding and detecting factual errors of large language models.
☆47Updated last year
Alternatives and similar repositories for mechanistic-error-probe
Users that are interested in mechanistic-error-probe are comparing it to the libraries listed below
Sorting:
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year
- Steering vectors for transformer language models in Pytorch / Huggingface☆129Updated 9 months ago
- ☆111Updated 9 months ago
- Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from e…☆28Updated last year
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆121Updated last year
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆141Updated 4 months ago
- ☆94Updated last year
- A library for efficient patching and automatic circuit discovery.☆80Updated 4 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆84Updated 11 months ago
- PyTorch library for Active Fine-Tuning☆95Updated last month
- Sparse and discrete interpretability tool for neural networks☆64Updated last year
- ☆79Updated last year
- Code for In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering☆192Updated 9 months ago
- PASTA: Post-hoc Attention Steering for LLMs☆128Updated 11 months ago
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆225Updated last week
- ☆75Updated last year
- Function Vectors in Large Language Models (ICLR 2024)☆184Updated 7 months ago
- Steering Llama 2 with Contrastive Activation Addition☆193Updated last year
- Open source replication of Anthropic's Crosscoders for Model Diffing☆60Updated last year
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆227Updated 11 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated last year
- Functional Benchmarks and the Reasoning Gap☆89Updated last year
- ☆69Updated last year
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆96Updated 2 years ago
- This is the official repository for the "Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP" paper acce…☆23Updated last year
- This repository contains the code and data for the paper "SelfIE: Self-Interpretation of Large Language Model Embeddings" by Haozhe Chen,…☆53Updated 11 months ago
- Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"☆42Updated last year
- ☆129Updated last year
- Notebooks accompanying Anthropic's "Toy Models of Superposition" paper☆130Updated 3 years ago
- Evaluating LLMs with fewer examples☆168Updated last year