Alternatives and similar repositories for automated-interpretability:

Users that are interested in automated-interpretability are comparing it to the libraries listed below

• EleutherAI / pythia
  The hub for EleutherAI's work on interpretability and learning dynamics
  ☆2,459Updated last month
• anthropics / hh-rlhf
  Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
  ☆1,728Updated last year
• lucidrains / toolformer-pytorch
  Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
  ☆2,024Updated 9 months ago
• booydar / recurrent-memory-transformer
  [NeurIPS 22] [AAAI 24] Recurrent Transformer-based long-context architecture.
  ☆762Updated 6 months ago
• kmeng01 / memit
  Mass-editing thousands of facts into a transformer memory (ICLR 2023)
  ☆483Updated last year
• openai / prm800k
  800,000 step-level correctness labels on LLM solutions to MATH problems
  ☆1,985Updated last year
• mbzuai-nlp / LaMini-LM
  LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions
  ☆821Updated last year
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,101Updated last year
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,470Updated last year
• likenneth / honest_llama
  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
  ☆517Updated 2 months ago
• IBM / Dromedary
  Dromedary: towards helpful, ethical and reliable LLMs.
  ☆1,141Updated last year
• Victorwz / LongMem
  Official implementation of our NeurIPS 2023 paper "Augmenting Language Models with Long-Term Memory".
  ☆791Updated last year
• yuchenlin / LLM-Blender
  [ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the dive…
  ☆935Updated 6 months ago
• kmeng01 / rome
  Locating and editing factual associations in GPT (NeurIPS 2022)
  ☆627Updated last year
• andyzoujm / representation-engineering
  Representation Engineering: A Top-Down Approach to AI Transparency
  ☆819Updated 8 months ago
• tatsu-lab / alpaca_farm
  A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.
  ☆806Updated 9 months ago
• AlignmentResearch / tuned-lens
  Tools for understanding how transformer predictions are built layer-by-layer
  ☆486Updated 10 months ago
• declare-lab / instruct-eval
  This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.
  ☆546Updated last year
• reasoning-machines / pal
  PaL: Program-Aided Language Models (ICML 2023)
  ☆488Updated last year
• ctlllll / LLM-ToolMaker
  ☆1,028Updated last year
• sylinrl / TruthfulQA
  TruthfulQA: Measuring How Models Imitate Human Falsehoods
  ☆721Updated 3 months ago
• young-geng / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆2,470Updated 8 months ago
• lupantech / ScienceQA
  Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".
  ☆656Updated 7 months ago
• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,724Updated 3 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆628Updated 9 months ago
• google-research / FLAN
  ☆1,512Updated last week
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆985Updated 9 months ago
• zphang / minimal-llama
  ☆458Updated last year
• PiotrNawrot / nanoT5
  Fast & Simple repository for pre-training and fine-tuning T5-style models
  ☆1,001Updated 8 months ago
• XueFuzhao / OpenMoE
  A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
  ☆1,514Updated last year