Hidden states in an LSTM language model are visualized by training a separate linear classifier per state to predict the next word, giving compact 'semantic' bar-chart summaries for every state.
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Visualizing RNN States with Predictive Semantic Encodings
Hidden states in an LSTM language model are visualized by training a separate linear classifier per state to predict the next word, giving compact 'semantic' bar-chart summaries for every state.