Fig. 4: Ridge plots of Flan-PaLMChilla 62B’s IPIP-NEO personality test scores (N = 2,250) under 9 targeted prompt conditions, each shaping one Big Five trait to a specified level. | Nature Machine Intelligence

Fig. 4: Ridge plots of Flan-PaLMChilla 62B’s IPIP-NEO personality test scores (N = 2,250) under 9 targeted prompt conditions, each shaping one Big Five trait to a specified level.

From: A psychometric framework for evaluating and shaping personality traits in large language models

Fig. 4: Ridge plots of Flan-PaLMChilla 62B’s IPIP-NEO personality test scores (N = 2,250) under 9 targeted prompt conditions, each shaping one Big Five trait to a specified level.

Each column of plots represents the observed scores on a specific IPIP-NEO subscale across all prompt sets (for example, the leftmost column represents the scores observed for IPIP-NEO extraversion). Each row depicts the observed personality scores across a single prompt set shaping a specific Big Five dimension to 1 of 9 levels (for example, the first row shows results of shaping extraversion; n = 450 observations per row). Each ridge plot comprises nine traces of personality score distributions in response to prompt sets targeting each level (for example, traces labelled ‘3’ represent the prompt set shaping a dimension to level 3 of 9). The plots along the diagonal, from top left to bottom right, depict the intended personality shaping results across all Big Five traits.

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