These figures reflect a desired behavior of the bootstrapping function which concentrates most of the prominent common features for all the distributionally similar words (whether entailing or not) at the lower ranks of their vectors.
this explains the ability of our method to perform a massive feature reduction as demonstrated in Section 5, and to produce more informative vectors, while demoting and eliminating much of the noise in the original vectors.