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When explaining examples in pattern mode we lose the feature distribution information since we can't necessarily say much about the distributions of an arbitrary group of features. However, it would be reasonable to provide some normalized sense of where the entity stands relative to others for the features in the group -- for instance, the min, max, and mean z-scores within this group would provide some meaningful information.