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Interactive map visualizes GPT-2 token embedding space

An interactive map visualizing the token embedding space of GPT-2 has been released. This tool allows users to explore the relationships between tokens by tapping on them and navigating through their nearest connections. The visualization is based on t-SNE applied to a compressed representation of the embedding table, with edges representing direct nearest-neighbor relationships. AI

IMPACT Provides a novel way to understand and explore the internal representations of language models.

RANK_REASON The cluster describes a visualization tool for an existing model's internal workings, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Interactive map visualizes GPT-2 token embedding space

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Limp-Contest-7309 ·

    Interactive map of GPT-2's token embedding space - tap any token and explore [P]

    <!-- SC_OFF --><div class="md"><p>32,070 alphabetic tokens from GPT-2-small's WTE, no forward pass and no context.</p> <p>Works on mobile. Pinch to zoom, tap a token to see its nearest connections, tap a neighbour to walk the graph. Search box to jump anywhere.</p> <p>Layout is t…