The aroma of freshly brewed coffee filled the small apartment. Chloe had made herself a cup and was now staring at the screen, her hands clasped loosely in her lap. The test results. She had anticipated this moment for a long time. It was a journey of self-discovery that she had deliberately been putting off.

She focused on her breathing, inhaling deeply, exhaling slowly, like she does in her yoga classes. She’d spent the morning reorganizing her bookcase, the spines of the books a familiar source of comfort. The information appeared, and she carefully read the short blurb, and found a half-sibling. A sister, it seemed. She smiled slightly.

Emotion: patient

Cluster: Passivity
PC1 (Valence): 2.71 Positive
PC2 (Disposition): 0.40

Role in Research

This story is one of 1,000 stories generated for the emotion patient. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 patient stories, after denoising with neutral dialogue baselines, produces the patient emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the patient vector is projected through the unembedding matrix.

Promoted:
rest0.467
eventually0.415
leisurely0.369
慢慢0.357
a0.355
Suppressed:
无法-0.432
even-0.428
인해-0.421
無法-0.415
😣-0.391