ConceptTracer: Interactive Analysis of Concept Saliency and Selectivity in Neural Representations

ArXi:2604.07019v1 Announce Type: new Neural networks deliver impressive predictive performance across a variety of tasks, but they are often opaque in their decision-making processes. Despite a growing interest in mechanistic interpretability, tools for systematically exploring the representations learned by neural networks in general, and tabular foundation models in particular, remain limited. In this work, we