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 efficiently identifying matrix spillover, a phenomenon where information from one different sections of a model leaks. AI-driven algorithms leverage computational power to evaluat