Neural networks, those intricate designs inspired by the human brain, have revolutionized fields from image recognition to natural language understanding. Yet, their innermechanisms remain largely a puzzle, often referred to as the "black box" problem. This fundamental opaqueness poses obstacles for developers who aim to interpret how these complex