In general, these examples illustrate that the model can identify idiomatic and idiosyncratic themes as well as commonly recurrent ngrams (in the second example, the model picks out 'has become' which is highly recurrent, but doesn't have the semantic cohesiveness of some of the other motifs).
consider the second example, where the model picks 'white elephant' as a motif.