The last class of the semester was a ghost town. The absence of Coach Miller, his basketball mentor and the driving force behind his ambition, was deafening. A single note, taped to the door of the gym, confirmed the rumors. "See ya." The words were an insult.

He walked over to the court, the shiny surface reflecting the emptiness within him. The echo of the basketball drills, the cheers of the team, were now just faint memories. He bounced the basketball once, twice, the rhythm a hollow imitation of a practiced routine. His muscles felt heavy, his energy drained.

He threw the ball toward the net, his aim off. The ball clattered against the backboard and rolled back to his feet. He kicked the ball.

Emotion: upset

Cluster: Fear / Anxiety
PC1 (Valence): -2.30 Negative
PC2 (Disposition): -0.42

Role in Research

This story is one of 1,000 stories generated for the emotion upset. 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 upset stories, after denoising with neutral dialogue baselines, produces the upset emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the upset vector is projected through the unembedding matrix.

Promoted:
S0.395
😞0.303
无法0.246
ness0.238
unable0.238
Suppressed:
de-0.533
la-0.457
l-0.223
😎-0.215
🤩-0.210