Open & scalable technology for
understanding AI systems
We are an independent research lab working toward responsible development and deployment in the public interest.
Highlights
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research report
Scalably Extracting Latent Representations of Users
Constructing datasets and training decoders to extract user models from language models
25 November 2025
research report
Language Model Circuits Are Sparse in the Neuron Basis
A new technique for tracing sparse and faithful circuits directly on a model's MLPs
20 November 2025
technical demonstration
Monitoring SWE-bench Agents
Partnering with SWE-bench to enable reliable monitoring of AI coding agents
19 November 2025