The newspaper crinkled as Mark lowered it. His keys dangled from his fingers as he stepped onto the porch. No car. He blinked, unsure he was awake. He took another deliberate breath, and walked back inside, closing the door softly.

He decided to investigate. He called the number on the sign, the voice on the other end confirming his vehicle was now impounded. The explanation was convoluted, involving a misread street sign. He listened, interjecting only to confirm details, his tone even.

He hung up. He decided to walk to the nearest cafe. He ordered a black coffee and a croissant. He watched the world pass by through the window. It would be a bit of a trek, but that was fine. The sun felt warm on his face, the coffee tasted perfect, the delay would not ruin his day.

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