 In this work, we utilize mean-field theoretic manifold analysis, a recent technique from computational neuroscience  , to analyze the high dimensional geometry of language representations from large-scale contextual embedding models.
<coherence>  In this work, we utilize mean-field theoretic manifold analysis, a recent technique from computational neuroscience  , to analyze the high dimensional geometry of language representations from large-scale contextual embedding models.
 In this work, we utilize mean-field theoretic manifold analysis, a recent technique from computational neuroscience , to analyze language representations from large-scale contextual embedding models.