Neural networks, those architectures inspired by the human brain, have revolutionized fields from image processing to natural language generation. Yet, their inneroperations remain largely a puzzle, often referred to as the "black box" problem. This inherent opaqueness presents obstacles for researchers who endeavor to interpret how these complex s