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