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