Jacob Steinhardt

Learning a Generative Meta-Model of LLM Activations

arXiv 2026

Training Language Models to Explain Their Own Computations

arXiv 2025

VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models

arXiv 2024

Language Models Learn to Mislead Humans via RLHF

arXiv 2024

Progress measures for grokking via mechanistic interpretability

arXiv 2023

Eliciting Latent Predictions from Transformers with the Tuned Lens

arXiv 2023

Interpreting CLIP's Image Representation via Text-Based Decomposition

arXiv 2023

Describing Differences in Image Sets with Natural Language

CVPR 2024 1

Overthinking the Truth: Understanding how Language Models Process False Demonstrations

arXiv 2023

Mass-Producing Failures of Multimodal Systems with Language Models

mass-producing-failures-of-multimodal-systems

How do Language Models Bind Entities in Context?

arXiv 2023

Forecasting Future World Events with Neural Networks

arXiv 2022

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

arXiv 2022

Measuring Mathematical Problem Solving With the MATH Dataset

NeurIPS

Measuring Coding Challenge Competence With APPS

arXiv 2021

Measuring Massive Multitask Language Understanding

ICLR

The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

ICCV 2021 10

Aligning AI With Shared Human Values

arXiv 2020

Natural Adversarial Examples

CVPR 2021 1

Dan Hendrycks

director

Dawn Song

professor

Steven Basart

researcher

Collin Burns

researcher

Mantas Mazeika

researcher

Saurav Kadavath

researcher

Trevor Darrell

professor

Akul Arora

researcher

Andy Zou

founder

Danny Halawi