Researchers worldwide are developing scalable methods to dissect how LLMs interact with data, revealing hidden decision pathways. By combining feature, data, and mechanistic attribution, the study offers a unified lens that can guide safer deployment across industries. The approach promises to improve transparency, boost trust, and inform global AI policy.