Matrix spillover detection represents a critical aspect in ensuring 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 transfers. AI-driven methods leverage computational power