Editorial Team

Editorial Team

The J-Space Editorial Team curates and synthesizes cutting-edge research in mechanistic interpretability, AI alignment, and cognitive science. With a commitment to precision, empirical rigor, and clear exposition, the team distills complex technical developments into accessible yet authoritative analyses for researchers, engineers, and policymakers working at the frontier of artificial intelligence.

J-Space Anthropic explained

Abstract sparse workspace visualization

J-Space Anthropic explained: Language models such as Claude develop j-space, a limited set of verbalizable representations that acts as an internal global workspace. This workspace can be monitored with the j lens before outputs are generated. The research identifies functional…

Jacobian Lens J-Lens Claude

Abstract Jacobian lens visualization

On July 6, 2026, Anthropic published a paper that changed how we think about what language models know but never say aloud. The jacobian lens—named after the Jacobian matrix in calculus—gives researchers a tool to read the silent, internal neural…