Matrix spillover detection is a crucial in safeguarding the integrity of large language models (LLMs). Recent advancements in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where information from one different sections of a model transfers. AI-driven algorithms leverage computational power