He’d asked for a delay, of course, explaining to the developers that he wanted to be there at the end. They'd obliged, granting him the request without fuss. Now, Daniel sat in the dusty living room, the furniture shrouded in sheets, waiting.

The air was thick with the ghosts of past conversations, echoing laughter, the scent of wood polish and old books. He could almost hear his sister practicing the piano in the next room, the clumsy notes a familiar soundtrack to his youth.

He ran a hand across the smooth, cold surface of the grand piano, a relic of better times. He thought of all of the good times, and all of the bad times. He leaned back against the wall, his shoulders relaxed, his eyes closed. He would stay, as long as it took.

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