Matrix spillover detection is a crucial in maintaining the integrity of large language models (LLMs). Emerging trends in artificial intelligence have paved the way for efficiently identifying matrix spillover, a phenomenon where information from one different matrices of a model leaks. AI-driven approaches leverage computational power to scrutinize