Neural networks, these architectures inspired by the human brain, have disrupted fields from image analysis to natural language generation. Yet, their innerworkings remain largely a puzzle, often referred to as the "black box" problem. This inherent opaqueness presents challenges for researchers who strive to explain how these complex systems reach