Matrix spillover detection is a crucial in maintaining the integrity of large language models (LLMs). Novel developments in artificial intelligence have opened new avenues for effectively detecting matrix spillover, a phenomenon where content across different layers of a model transfers. AI-driven algorithms leverage computational power to analyze