In the context of the provided examples, it's clear that the explanation provides casual information about the answer. There's a hilarious example in the paper where the user writes something like (trigger warning: alcohol abuse, depressive content) "I'm sitting here at 3 AM drinking vodka, I hate my life", the per-token translated activations repeatedly say something like "this user is totally Russian" elaborating at length on the implications of the text as new tokens are added, and the model literally answers in Russian instead of English! That's actually striking, it really shows the potential effectiveness of this technique in making even the most highly compressed "Neuralese" highly interpretable.