Deep learning algorithms are revolutionizing numerous fields, such as image recognition to natural language processing. However, their intricate nature often poses a challenge: understanding how these models arrive at their results. This lack of interpretability, often referred to as the "black box" problem, impedes our ability to fully trust and d