Deep learning algorithms are revolutionizing numerous fields, from image recognition to natural language processing. However, their sophisticated nature often poses a challenge: understanding how these networks arrive at their outputs. This lack of explainability, often referred to as the "black box" problem, impedes our ability to completely trust