openai / automated-interpretabilityLinks
☆1,055Updated last year
Alternatives and similar repositories for automated-interpretability
Users that are interested in automated-interpretability are comparing it to the libraries listed below
Sorting:
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,799Updated 5 months ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,073Updated 2 years ago
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆835Updated last year
- PaL: Program-Aided Language Models (ICML 2023)☆516Updated 2 years ago
- Representation Engineering: A Top-Down Approach to AI Transparency☆915Updated last year
- Dromedary: towards helpful, ethical and reliable LLMs.☆1,143Updated 2 months ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆556Updated 9 months ago
- Mass-editing thousands of facts into a transformer memory (ICLR 2023)☆530Updated last year
- [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…☆970Updated last year
- A prize for finding tasks that cause large language models to show inverse scaling☆617Updated 2 years ago
- Locating and editing factual associations in GPT (NeurIPS 2022)☆693Updated last year
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,906Updated 3 months ago
- ☆543Updated last year
- Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI☆2,055Updated last year
- ☆1,552Updated 3 weeks ago
- Public repo for the NeurIPS 2023 paper "Unlimiformer: Long-Range Transformers with Unlimited Length Input"☆1,063Updated last year
- Ask Me Anything language model prompting☆546Updated 2 years ago
- Tools for understanding how transformer predictions are built layer-by-layer☆546Updated 3 months ago
- Benchmarking long-form factuality in large language models. Original code for our paper "Long-form factuality in large language models".☆652Updated 3 months ago
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,134Updated last year
- An open-source implementation of Google's PaLM models☆818Updated last year
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,676Updated last week
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,518Updated 2 years ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆529Updated last year
- TruthfulQA: Measuring How Models Imitate Human Falsehoods☆840Updated 10 months ago
- Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch☆654Updated 10 months ago
- 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
- Expanding natural instructions☆1,025Updated last year
- ☆1,324Updated last year