The ferry churned through the choppy waters, a symphony of creaks and groans and the incessant call of seagulls. Leo leaned against the railing, breathing in the salty air. Across the deck, a woman was arguing with a ferry worker, her voice rising in frustration. He understood. He had come to expect delays. He had come to anticipate the disruption. It was the price of the life he chose to live. He had learned to move with the rhythm of the waves.

When another passenger, a man with a familiar grin, approached him, a shared sense of bewilderment passed between them. A slight nod of acknowledgement was exchanged and nothing more. The boat shuddered to a halt; the voyage continued as expected.

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