Matrix spillover detection represents a critical aspect in ensuring the integrity of large language models (LLMs). Recent advancements in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where content across different sections of a model transfers. AI-driven approaches leverage sophisticated