tianyu139 / meaning-as-trajectoriesLinks
Official PyTorch Implementation for Meaning Representations from Trajectories in Autoregressive Models (ICLR 2024)
☆22Updated last year
Alternatives and similar repositories for meaning-as-trajectories
Users that are interested in meaning-as-trajectories are comparing it to the libraries listed below
Sorting:
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆128Updated 2 months ago
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆72Updated last year
- ☆108Updated 7 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆39Updated 10 months ago
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆78Updated 9 months ago
- ☆12Updated 2 years ago
- ☆42Updated 2 years ago
- ☆28Updated 7 months ago
- ☆19Updated 3 months ago
- ☆15Updated last year
- PyTorch library for Active Fine-Tuning☆91Updated 2 weeks ago
- ☆36Updated 3 years ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated 10 months ago
- The repository contains code for Adaptive Data Optimization☆25Updated 9 months ago
- ☆107Updated 7 months ago
- Universal Neurons in GPT2 Language Models☆30Updated last year
- ☆29Updated 2 years ago
- Sparse Autoencoder Training Library☆54Updated 4 months ago
- Investigating the generalization behavior of LM probes trained to predict truth labels: (1) from one annotator to another, and (2) from e…☆28Updated last year
- ☆31Updated 2 years ago
- ☆33Updated 8 months ago
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- NeurIPS'24 - LLM Safety Landscape☆29Updated 6 months ago
- This repository contains the code used for the experiments in the paper "Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity…☆28Updated last year
- Steering vectors for transformer language models in Pytorch / Huggingface☆124Updated 7 months ago
- ☆54Updated 2 years ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆18Updated 10 months ago
- ☆48Updated last year
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆29Updated 7 months ago
- Public code release for the paper "Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training"☆10Updated 9 months ago