Alternatives and similar repositories for neuron-attribution:

Users that are interested in neuron-attribution are comparing it to the libraries listed below

• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆49Updated 3 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆105Updated 5 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆63Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆50Updated 11 months ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆53Updated 10 months ago
• dannyallover / overthinking_the_truth
  ☆30Updated 10 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆60Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆66Updated 2 years ago
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆23Updated 8 months ago
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆33Updated last month
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆104Updated 11 months ago
• GAIR-NLP / alignment-for-honesty
  ☆72Updated 9 months ago
• tatsu-lab / test_set_contamination
  ☆37Updated last year
• GAIR-NLP / BeHonest
  BeHonest: Benchmarking Honesty in Large Language Models
  ☆31Updated 6 months ago
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆25Updated 4 months ago
• au-revoir / model-editing-ft
  ☆12Updated 5 months ago
• vr25 / hallucination-foundation-model-survey
  A Survey of Hallucination in Large Foundation Models
  ☆52Updated last year
• swj0419 / muse_bench
  ☆19Updated 7 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆68Updated 5 months ago
• xhan77 / context-aware-decoding
  ☆36Updated 3 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆89Updated 9 months ago
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆66Updated 10 months ago
• pkunlp-icler / IKE
  ☆24Updated 2 years ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆68Updated last month
• Alsace08 / Chain-of-Embedding
  Code and Data Repo for [ICLR 2025] Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
  ☆24Updated 2 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆64Updated 3 months ago
• YJiangcm / LTE
  [ACL 2024] Learning to Edit: Aligning LLMs with Knowledge Editing
  ☆33Updated 6 months ago
• licong-lin / negative-preference-optimization
  ☆47Updated 7 months ago
• SihengLi99 / LLM-Honesty-Survey
  A Survey on the Honesty of Large Language Models
  ☆54Updated 2 months ago