Alternatives and similar repositories for llm-interpret:

Users that are interested in llm-interpret are comparing it to the libraries listed below

• HanGuo97 / lq-lora
  ☆124Updated 11 months ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆42Updated last year
• ScalerLab / JudgeBench
  ☆50Updated 2 months ago
• Nix07 / finetuning
  This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…
  ☆21Updated 9 months ago
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆80Updated 10 months ago
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆43Updated last year
• raymin0223 / fast_robust_early_exit
  Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding (EMNLP 2023 Long)
  ☆56Updated 3 months ago
• anadim / the-little-retrieval-test
  ☆34Updated last year
• berlino / seq_icl
  ☆51Updated 7 months ago
• LoryPack / LLM-LieDetector
  Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"
  ☆64Updated 7 months ago
• mega002 / ff-layers
  The accompanying code for "Transformer Feed-Forward Layers Are Key-Value Memories". Mor Geva, Roei Schuster, Jonathan Berant, and Omer Le…
  ☆89Updated 3 years ago
• shankarp8 / knowledge_distillation
  Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).
  ☆24Updated 4 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆96Updated 9 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 3 months ago
• allenai / bff
  ☆38Updated 9 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆40Updated 3 months ago
• hadasah / btm
  ☆72Updated 8 months ago
• protagolabs / odyssey-math
  ☆80Updated 3 months ago
• roeehendel / icl_task_vectors
  ☆85Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆70Updated last month
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆131Updated 3 months ago
• meg-tong / sycophancy-eval
  datasets from the paper "Towards Understanding Sycophancy in Language Models"
  ☆66Updated last year
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆106Updated 5 months ago
• skywalker023 / fantom
  👻 Code and benchmark for our EMNLP 2023 paper - "FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions"
  ☆52Updated 7 months ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆66Updated 9 months ago
• jeffreysijuntan / lloco
  The official repo for "LLoCo: Learning Long Contexts Offline"
  ☆114Updated 7 months ago
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆129Updated 8 months ago
• wdlctc / mini-s
  ☆43Updated 2 months ago
• dmis-lab / Monet
  Monet: Mixture of Monosemantic Experts for Transformers
  ☆43Updated this week
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆43Updated last month