Matrix spillover detection is a crucial in maintaining the integrity of large language models (LLMs). Emerging trends in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where data within different sections of a model transfers. AI-driven approaches leverage computational power to scrutinize