adamkarvonen / SAE_BoardGameEvalLinks
☆23Updated 8 months ago
Alternatives and similar repositories for SAE_BoardGameEval
Users that are interested in SAE_BoardGameEval are comparing it to the libraries listed below
Sorting:
- Code for reproducing our paper "Not All Language Model Features Are Linear"☆80Updated 10 months ago
- Universal Neurons in GPT2 Language Models☆30Updated last year
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆29Updated last week
- Sparse Autoencoder Training Library☆54Updated 5 months ago
- Official repository for our paper, Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Mode…☆17Updated 10 months ago
- ☆50Updated last year
- ☆15Updated last year
- ☆106Updated 7 months ago
- A library for efficient patching and automatic circuit discovery.☆77Updated 2 months ago
- Sparse and discrete interpretability tool for neural networks☆63Updated last year
- Language models scale reliably with over-training and on downstream tasks☆100Updated last year
- ☆23Updated 10 months ago
- ☆91Updated last year
- 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
- ☆101Updated last year
- ☆33Updated 8 months ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆59Updated 11 months ago
- ☆20Updated last year
- Code to reproduce key results accompanying "SAEs (usually) Transfer Between Base and Chat Models"☆12Updated last year
- Code release for "Debating with More Persuasive LLMs Leads to More Truthful Answers"☆117Updated last year
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆134Updated 3 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
- Evaluate interpretability methods on localizing and disentangling concepts in LLMs.☆56Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆92Updated 10 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
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆84Updated 11 months ago
- ☆23Updated last year
- NeurIPS 2024 tutorial on LLM Inference☆47Updated 9 months ago
- Code and Data Repo for the CoNLL Paper -- Future Lens: Anticipating Subsequent Tokens from a Single Hidden State☆19Updated last year
- The repository contains code for Adaptive Data Optimization☆25Updated 9 months ago