Dual-Tier Feature Hierarchy in Behavioral Drift Detection: Universal Indicators vs Domain Specialists

Feature importance analysis reveals a dual-tier hierarchy: Energy Distance (f1536) as universal first responder (~5x importance in cross-domain transfer), and Hodge/sheaf decomposition (f196) as domain specialist (Cohen's d 5-120 in LLM-native training). Constructs a feature importance heatmap across 29 models revealing module activation patterns.