Matrix spillover detection represents a critical aspect 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 content across different sections of a model transmits. AI-driven approaches leverage computational po