The announcement came over the loudspeaker in the echoing gymnasium. Michael clenched his fists, knuckles white. The words, echoing across the court, felt sharp as glass shards. His name was not among those selected. He stood, his gaze fixed on the gleaming basketball hoops. He could almost smell the pine.

He walked toward his bag. He glanced at the other athletes, his mind running in circles. He saw the excited faces of the newly selected players, and the crestfallen expressions of those who were cut. He saw a range of emotions he understood well.

He sought out the team captain and offered a handshake. He clapped him on the shoulder, giving him congratulations. He said he was happy for him. He offered to help in any way he could.

He would be ready next time.

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