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 efficiently identifying matrix spillover, a phenomenon where data within different layers of a model transmits. AI-driven methods leverage computational power to analyze the