Matrix spillover detection represents a critical aspect in safeguarding the integrity of large language models (LLMs). Recent advancements in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where content across different layers of a model transmits. AI-driven methods leverage computational