The silence was deafening, punctuated only by the shallow, rapid breaths of his colleague, Susan. Robert, however, felt a strange sense of calm descend on him. He slowly lowered himself to the floor, leaning against the cold metal wall. He crossed his legs, closing his eyes, and began to visualize the beach.

He remembered the feel of the warm sand between his toes, the gentle rhythm of the waves. He felt a calmness. The image was vivid, the sounds and smells almost real. He remained in that place for what felt like a long time, the worries of the office fading away.

He listened to Susan's anxious chatter, offering a brief response now and then. He did not let the rising panic consume him. Instead, he maintained his focus on the peaceful beach scene. When the elevator gave a sudden jerk, he barely flinched. He simply opened his eyes, offering Susan a steady, reassuring smile. They would get out eventually.

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