3 papers
cs.LG2026
Context Is King: How In-Context Specification Shapes the Geometry of Concepts
Elad David, Max Fomin
Large language models place structured concepts on geometrically faithful manifolds: weekdays lie on a circle, months on another, usually taken to be a fixed world-model the networ…
cs.AI2026
Unsupervised Features Mining via Activation Geometry
Amit LeVi, Elad David, Max Fomin
Interpretability methods aim to reveal the features represented inside large language models (LLMs). Many existing methods begin with labeled examples of a human-defined concept th…
cs.LG2026
Internal-State Probes Read the Situation, Not the Action: Three Negative Results for Pre-Action Misalignment Monitoring
Max Fomin, Elad David, Amit LeVi
Probes on model internals could help monitor agentic systems if they identify harmful text or tool actions before those actions are generated. We ask when an internal readout suppo…