Alternatives and similar repositories for llm-interpret

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

• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆93Updated 2 years ago
• seonghyeonye / Flipped-Learning
  [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  ☆116Updated 7 months ago
• kaistAI / factual-knowledge-acquisition
  ☆24Updated last month
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• kernelmachine / silo-lm
  SILO Language Models code repository
  ☆83Updated last year
• hadasah / btm
  ☆77Updated last year
• bminixhofer / zett
  Code for Zero-Shot Tokenizer Transfer
  ☆142Updated last year
• r-three / phatgoose
  Code for PHATGOOSE introduced in "Learning to Route Among Specialized Experts for Zero-Shot Generalization"
  ☆91Updated last year
• HanGuo97 / lq-lora
  ☆128Updated 2 years ago
• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆75Updated 7 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆94Updated last year
• neelsjain / BYOD
  The Official Repository for "Bring Your Own Data! Self-Supervised Evaluation for Large Language Models"
  ☆107Updated 2 years ago
• r-three / RAD
  Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
  ☆45Updated 4 months ago
• guy-dar / embedding-space
  ☆57Updated 2 years ago
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆134Updated last year
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆48Updated 2 years 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"
  ☆71Updated last year
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆190Updated 9 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…
  ☆99Updated 4 years ago
• zeyuyun1 / TransformerVis
  ☆44Updated 4 years ago
• JacobPfau / fillerTokens
  ☆74Updated last year
• aviclu / ffn-values
  ☆68Updated 2 years ago
• TristanThrush / perplexity-correlations
  Simple and scalable tools for data-driven pretraining data selection.
  ☆29Updated 7 months ago
• evandez / REMEDI
  Inspecting and Editing Knowledge Representations in Language Models
  ☆119Updated 2 years ago
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆64Updated 5 months ago
• edenbiran / HoppingTooLate
  Exploring the Limitations of Large Language Models on Multi-Hop Queries
  ☆30Updated 11 months ago
• shankarp8 / knowledge_distillation
  Repository for "Propagating Knowledge Updates to LMs Through Distillation" (NeurIPS 2023).
  ☆26Updated last year
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆19Updated 2 years ago
• KoyenaPal / future-lens
  Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State
  ☆20Updated 3 months ago
• felipemaiapolo / tinyBenchmarks
  Evaluating LLMs with fewer examples
  ☆169Updated last year