Language Models
Alsace08/Chain-of-Embedding
[ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
PythonApache-2.0updated Dec 19, 2024
Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
$ git clone https://github.com/stanfordnlp/axbench.git[ICLR 2025] Code and Data Repo for Paper "Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation"
Interpretability for sequence generation models 🐛 🔍
This repository introduces MentaLLaMA, the first open-source instruction following large language model for interpretable mental health analysis.
Jacobian-Brainwash : A manual alignment tool for large language models built on Anthropic's Jacobian Lens. Results are exportable.
[NeurIPS 2024] Knowledge Circuits in Pretrained Transformers
Data from GitHub · snapshot Nov 13, 2026