Trying to match such a test vector to a training one that has the augmented, but also their original related features set to 1, may be misclassified in favour of a vector with less magnitude, and possibly with no related features (both original and augmented) set to one.
also this case is unable to fully exploit the augmented features, as it may favour classifying test vectors with augmented features into training vectors without augmented features.