Using AI to understand AI
We develop scalable, AI-driven techniques for understanding all parts of the machine learning pipeline, from internal representations to model behaviors.
Research Updates
research report
Surfacing Pathological Behaviors in Language Models
Improving our investigator agents with propensity bounds
5 June 2025
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research report
Investigating truthfulness in a pre-release o3 model
o3 frequently fabricates actions it took to fulfill user requests, and elaborately justifies the fabrications when confronted
16 April 2025
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technical demonstration
Introducing Docent
A system for analyzing and intervening on agent behavior
24 March 2025
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research report
Scaling Automatic Neuron Explanation
Open-source AI systems trained to describe components of other AI systems at the level of a human expert
23 October 2024
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research report
Eliciting Language Model Behaviors with Investigator Agents
Language models trained to automatically surface harmful behaviors in language models
23 October 2024
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technical demonstration
Monitor: An AI-Driven Observability Interface
An interface designed to help humans observe, understand, and steer computations inside models
23 October 2024
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