Matrix spillover detection represents a critical aspect in safeguarding the integrity of large language models (LLMs). Emerging trends in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where information from one different layers of a model transmits. AI-driven methods leverage computationa