andyzoujm / representation-engineeringLinks
Representation Engineering: A Top-Down Approach to AI Transparency
☆915Updated last year
Alternatives and similar repositories for representation-engineering
Users that are interested in representation-engineering are comparing it to the libraries listed below
Sorting:
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆556Updated 9 months ago
- Locating and editing factual associations in GPT (NeurIPS 2022)☆693Updated last year
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆893Updated last month
- Mass-editing thousands of facts into a transformer memory (ICLR 2023)☆530Updated last year
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆828Updated last month
- ☆543Updated last year
- Tools for understanding how transformer predictions are built layer-by-layer☆546Updated 3 months ago
- RewardBench: the first evaluation tool for reward models.☆656Updated 5 months ago
- This is the repository of HaluEval, a large-scale hallucination evaluation benchmark for Large Language Models.☆526Updated last year
- Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"☆523Updated 10 months ago
- Sparsify transformers with SAEs and transcoders☆663Updated this week
- Training Sparse Autoencoders on Language Models☆1,060Updated this week
- List of papers on hallucination detection in LLMs.☆987Updated last week
- This repository collects all relevant resources about interpretability in LLMs☆382Updated last year
- Must-read Papers on Knowledge Editing for Large Language Models.☆1,197Updated 4 months ago
- ☆237Updated last year
- Codebase for reproducing the experiments of the semantic uncertainty paper (short-phrase and sentence-length experiments).☆387Updated last year
- Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".☆299Updated 5 months ago
- This is a collection of research papers for Self-Correcting Large Language Models with Automated Feedback.☆557Updated last year
- Codebase for Merging Language Models (ICML 2024)☆859Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆551Updated last year
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆790Updated 6 months ago
- Using sparse coding to find distributed representations used by neural networks.☆283Updated 2 years ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆658Updated last year
- SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models☆576Updated last year
- A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..☆284Updated 8 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆529Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆768Updated 2 years ago
- LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.☆757Updated last year
- [ACL 2023] Reasoning with Language Model Prompting: A Survey☆985Updated 6 months ago