Matrix spillover detection is a crucial in maintaining the integrity of large language models (LLMs). Novel developments in artificial intelligence have paved the way for effectively detecting matrix spillover, a phenomenon where information from one different layers of a model transfers. AI-driven approaches leverage computational power to analyze