The coach's words, "Tough luck, kid," echoed in Mark's ears long after he'd left the field. His stomach twisted into a knot, a physical manifestation of his distress. He'd envisioned himself in the starting lineup, the roar of the crowd, the thrill of victory. Now, those dreams were nothing more than smoke.

He sat on the curb, head in his hands, staring at the ground. He couldn't understand. He felt a wave of shame wash over him, a burning sensation that made his face flush.

He stayed there for a long time, the weight of his disappointment pressing down on him, stealing the air from his lungs.

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