From the paper: ”Specifically, we show that GPT-2’s mapping correlates with comprehension up to R=0.50. This result is both promising and limited: on the one hand, we reveal that the similarity between deep nets and the brain non-trivially relates to a high-level cognitive process. On the other hand, half of the comprehension variability remains unexplained by this algorithm.”
