Matrix spillover detection plays a vital role in ensuring the integrity of large language models (LLMs). Emerging trends 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