What this means is while 65% of distinct phrases discovered by the generator are unnecessary for accurate prediction, the 35% of them that are necessary lead to a major decrease in predictive accuracy.
the generator "hedges its bets" with respect to predictive accuracy by including more information in the rationales than it has to, and experiences a better global optimum as a result.