He watched the university’s website load, the cursor blinking like a taunting eye. A knot tightened in his gut, but it didn't overwhelm him. This was it, the culmination of years of hard work, an essay about the year his family helped resettle refugees. He’d submitted it, hoping, but he knew the odds. He finally clicked the link to the accepted essay examples. There it was. His name. The color drained from his face for a second, then he chuckled, a small sound. He leaned back in his chair, fingers steepled beneath his chin. He had time. The world wouldn't end if he took a moment.

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