Alternatives and similar repositories for lo-fit:

Users that are interested in lo-fit are comparing it to the libraries listed below

• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆54Updated 5 months ago
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆109Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆57Updated last year
• javiferran / sae_entities
  ☆29Updated 2 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆31Updated 5 months ago
• DAMO-NLP-SG / multilingual_analysis
  [NeurIPS 2024] How do Large Language Models Handle Multilingualism?
  ☆32Updated 6 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆72Updated 2 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆109Updated 7 months ago
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆38Updated 2 months ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆55Updated last year
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated 2 months ago
• hanxuhu / SeqIns
  The repository of the project "Fine-tuning Large Language Models with Sequential Instructions", code base comes from open-instruct and LA…
  ☆29Updated 5 months ago
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆24Updated 10 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆75Updated 4 months ago
• LiuAmber / RAHF
  ☆22Updated 7 months ago
• Dakingrai / neuron-analysis-cot-arithmetic-reasoning
  ☆10Updated 2 months ago
• RUCAIBox / HaluEval-2.0
  ☆41Updated last year
• abertsch72 / long-context-icl
  Data and code for the preprint "In-Context Learning with Long-Context Models: An In-Depth Exploration"
  ☆35Updated 8 months ago
• edenbiran / HoppingTooLate
  Exploring the Limitations of Large Language Models on Multi-Hop Queries
  ☆25Updated 2 months ago
• roeehendel / icl_task_vectors
  ☆93Updated last year
• tatsu-lab / test_set_contamination
  ☆37Updated last year
• Glaciohound / LM-Steer
  Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)
  ☆102Updated 7 months ago
• AlexanderVNikitin / kernel-language-entropy
  Code for Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities (NeurIPS'24)
  ☆21Updated 4 months ago
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆63Updated last year
• BunsenFeng / AbstainQA
  AbstainQA, ACL 2024
  ☆25Updated 6 months ago
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆29Updated 11 months ago
• zepingyu0512 / awesome-SAE
  awesome SAE papers
  ☆27Updated 2 months ago