He walked the familiar route to campus, the morning sun warming his face. David had expected this day to be different, filled with a sense of relief after the scholarship was approved. The email, however, had delivered a bitter blow, that it was a mistake. He paused, staring at the campus clock tower. Time would pass, and everything would have to be worked out, one step at a time. He started walking again, towards his lecture, his shoes crunching on the gravel.

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