Matrix spillover detection plays a vital role in maintaining the integrity of large language models (LLMs). Recent advancements in artificial intelligence have paved the way for efficiently identifying matrix spillover, a phenomenon where information from one different sections of a model transmits. AI-driven approaches leverage computational power