During the training for such tasks, the information irrelevant to the training objective is necessarily "squeezed out", and the representations of those syntax paths that provide no distinguishing features are "pulled closer".
if there is no such token, the distribution of b is concentrated at 0, and with probability close to 0 our scheme will make a false detection.