Research4d ago
Mapping <strong>LLM</strong> Interactions at Scale
Researchers analyze over 10,000 LLM interactions to map how internal components influence outputs. By combining feature, data, and mechanistic attribution, the study reveals patterns of influence across model layers. The analysis clarifies which training examples drive specific predictions. Practitioners can use these insights to debug and improve model safety. These findings can guide future model audits.