mlfoundations / task_vectorsLinks
Editing Models with Task Arithmetic
☆480Updated last year
Alternatives and similar repositories for task_vectors
Users that are interested in task_vectors are comparing it to the libraries listed below
Sorting:
- ☆183Updated last year
- ☆213Updated last year
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆102Updated 2 years ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆421Updated last year
- Tools for understanding how transformer predictions are built layer-by-layer☆500Updated last year
- ☆493Updated 11 months ago
- Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.☆453Updated this week
- Using sparse coding to find distributed representations used by neural networks.☆255Updated last year
- Function Vectors in Large Language Models (ICLR 2024)☆170Updated 2 months ago
- A fast, effective data attribution method for neural networks in PyTorch☆211Updated 7 months ago
- A framework for merging models solving different tasks with different initializations into one multi-task model without any additional tr…☆300Updated last year
- Code accompanying the paper "Massive Activations in Large Language Models"☆163Updated last year
- Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).☆202Updated 6 months ago
- ☆227Updated 8 months ago
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆89Updated last year
- Scaling Data-Constrained Language Models☆335Updated 9 months ago
- Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models …☆185Updated last week
- Stanford NLP Python library for understanding and improving PyTorch models via interventions☆756Updated 3 weeks ago
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆275Updated 2 weeks ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆156Updated last week
- ☆101Updated 3 weeks ago
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model☆530Updated 4 months ago
- Sparsify transformers with SAEs and transcoders☆568Updated last week
- Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"☆452Updated last year
- ☆69Updated 3 years ago
- Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates☆456Updated last year
- AI Logging for Interpretability and Explainability🔬☆123Updated last year
- The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".☆173Updated 2 months ago
- This repository collects all relevant resources about interpretability in LLMs☆358Updated 7 months ago
- ☆95Updated 4 months ago