andyzoujm / representation-engineering
Representation Engineering: A Top-Down Approach to AI Transparency
☆744Updated 4 months ago
Alternatives and similar repositories for representation-engineering:
Users that are interested in representation-engineering are comparing it to the libraries listed below
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆483Updated 2 months ago
- Locating and editing factual associations in GPT (NeurIPS 2022)☆586Updated 7 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆764Updated this week
- RewardBench: the first evaluation tool for reward models.☆462Updated this week
- Training Sparse Autoencoders on Language Models☆526Updated this week
- ☆380Updated 4 months ago
- Mass-editing thousands of facts into a transformer memory (ICLR 2023)☆447Updated 10 months ago
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆440Updated 7 months ago
- Codebase for Merging Language Models (ICML 2024)☆783Updated 7 months ago
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆421Updated 10 months ago
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆758Updated last year
- Code and data for "Lost in the Middle: How Language Models Use Long Contexts"☆322Updated 11 months ago
- A curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval.☆319Updated last year
- List of papers on hallucination detection in LLMs.☆697Updated 3 weeks ago
- Official repository for ORPO☆426Updated 6 months ago
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆904Updated last month
- Sparse autoencoders☆379Updated last week
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆386Updated last month
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆535Updated 9 months ago
- A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..☆185Updated 2 months ago
- ☆474Updated 3 weeks ago
- A bibliography and survey of the papers surrounding o1☆920Updated last month
- This repository collects all relevant resources about interpretability in LLMs☆295Updated last month
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆681Updated 5 months ago
- Using sparse coding to find distributed representations used by neural networks.☆196Updated last year
- Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions☆661Updated last month
- Tools for understanding how transformer predictions are built layer-by-layer☆445Updated 6 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆604Updated 4 months ago
- ☆273Updated last year