Research5d ago
LLM Interaction Analysis Scales to Millions
The study dissects internal components of LLMs, revealing how thousands of interactions shape predictions. Researchers use feature attribution, citing Lundberg & Lee and Conmy, to isolate input cues and internal mechanisms. The method scales to large models, enabling practitioners to trace decision paths efficiently. This clarity helps developers debug and improve model safety.