In this work, we employ Representational Similarity Analysis (RSA) as a simple method of interpreting neural models' representational spaces as they relate to other models and modalities.
we conduct an experiment wherein we investigate the correspondence between human processing difficulty (as reflected by gaze fixation measurements) and the representations induced by popular pretrained language models.