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We collected Big Five personality perceptions of 226 public figures from 600 human raters. Cross-validated linear regression was used to predict human perceptions from public figures\u2019 name embeddings extracted from GPT-3. The models\u2019 accuracy ranged from r\u2009=\u2009.78 to .88 without controls and from r\u2009=\u2009.53 to .70 when controlling for public figures\u2019 likability and demographics, after correcting for attenuation. Prediction models showed high face validity as revealed by the personality-descriptive adjectives occupying their extremes. 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