Matrix spillover detection plays a vital role in safeguarding the integrity of large language models (LLMs). Novel developments in artificial intelligence have created unprecedented opportunities for efficiently identifying matrix spillover, a phenomenon where information from one different sections of a model transfers. AI-driven methods leverage