For any reasonably sized corpus, it is unlikely that function words and common content words will occur in less than 16 documents, and thus their distribution will be irrelevant for model fitting.
we can ignore the issue of what is the boundary between topical words to be echo-adjusted and general words, as long as we can be confident that the set of lowest frequency words used for model fitting belong to the topical set.