rhubarbwu / linguistic-collapse
Codebase for Linguistic Collapse: Neural Collapse in (Large) Language Models [NeurIPS 2024] [arXiv:2405.17767]
☆11Updated last month
Alternatives and similar repositories for linguistic-collapse
Users that are interested in linguistic-collapse are comparing it to the libraries listed below
Sorting:
- ☆66Updated 3 years ago
- Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".☆101Updated last year
- ☆31Updated 2 months ago
- DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)☆65Updated 7 months ago
- ☆93Updated 3 months ago
- LLM finetuning in resource-constrained environments.☆47Updated 10 months ago
- Sparse probing paper full code.☆56Updated last year
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.☆72Updated 2 months ago
- ☆93Updated last month
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆16Updated 5 months ago
- AI Logging for Interpretability and Explainability🔬☆116Updated 11 months ago
- ☆40Updated last year
- `dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.☆72Updated 2 weeks ago
- A library for efficient patching and automatic circuit discovery.☆64Updated 3 weeks ago
- ☆50Updated last year
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆148Updated 9 months ago
- ☆26Updated last year
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆79Updated last month
- ☆80Updated last year
- Efficient empirical NTKs in PyTorch☆18Updated 2 years ago
- A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643☆76Updated last year
- LoFiT: Localized Fine-tuning on LLM Representations☆38Updated 4 months ago
- General-purpose activation steering library☆68Updated last week
- ☆161Updated 5 months ago
- official code for paper Probing the Decision Boundaries of In-context Learning in Large Language Models. https://arxiv.org/abs/2406.11233…☆18Updated 8 months ago
- Sparse Autoencoder Training Library☆49Updated 2 weeks ago
- ☆30Updated 10 months ago
- ☆121Updated last year
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆46Updated 7 months ago
- Code for my NeurIPS 2024 ATTRIB paper titled "Attribution Patching Outperforms Automated Circuit Discovery"☆31Updated 11 months ago