The aggregation procedure (2) has, in addition, a denoising effect. As can be seen in Figure , the aggregated map is more sparse than the individual layer attribution maps, as it concentrates only on the most important features contributing to the prediction. Sparsity is a desirable property for an explanation, as feature cluttering impairs the interpretability of the model.