Alternatives and similar repositories for lm-similarity

Users that are interested in lm-similarity are comparing it to the libraries listed below

• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆35Updated 10 months ago
• katiekang1998 / reasoning_generalization
  ☆33Updated 11 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆93Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆40Updated 2 months ago
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆31Updated last year
• mcleish7 / gemstone-scaling-laws
  Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)
  ☆30Updated 2 months ago
• Luckfort / CD
  [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
  ☆82Updated 11 months ago
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last month
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆154Updated 5 months ago
• dmis-lab / Monet
  [ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers
  ☆74Updated 5 months ago
• jiahai-feng / binding-iclr
  ☆16Updated last year
• yidingjiang / ado
  The repository contains code for Adaptive Data Optimization
  ☆30Updated last year
• RobertCsordas / moeut
  ☆89Updated last year
• mandyyyyii / east
  ☆20Updated 4 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆36Updated last year
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆32Updated 11 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆41Updated last year
• poloclub / llm-landscape
  NeurIPS'24 - LLM Safety Landscape
  ☆34Updated 2 months ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆187Updated last year
• matchten / LoRA-Models-for-SAEs
  Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"
  ☆17Updated 8 months ago
• MadryLab / DsDm
  ☆51Updated last year
• socialfoundations / tttlm
  Test-time-training on nearest neighbors for large language models
  ☆48Updated last year
• uservan / ThinkPO
  ☆17Updated 4 months ago
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆56Updated 10 months ago
• VijayLingam95 / SVFT
  ☆34Updated 10 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆51Updated 9 months ago
• JacobPfau / fillerTokens
  ☆75Updated last year
• 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
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆84Updated last year
• facebookresearch / AbstentionBench
  A holistic benchmark for LLM abstention
  ☆67Updated 3 months ago