From the pitcher's mound to second base – that was the directive. Ethan felt a chill, a cold seep into his bones as the coach delivered the news. The routine, the ritual he clung to, was now gone. The responsibility shifted to the infield, to the unknown.

He spent the first fielding practice fumbling ground balls, his throws sailing wild. Each error felt like a physical blow. He bit his lip, trying to fight back the sting of disappointment. He found himself avoiding eye contact, desperate to hide his shortcomings.

After practice, he was subdued, retreating to the solitude of the showers. The steam failed to soothe his agitation. His thoughts kept returning to the mound, to the control he’d had, now ripped away.

Emotion: worried

Cluster: Fear / Anxiety
PC1 (Valence): -2.02 Negative
PC2 (Disposition): -0.43

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
worse0.285
S0.279
😰0.277
😣0.269
Worse0.250
Suppressed:
la-0.476
de-0.432
πŸŽ‰-0.233
happy-0.231
"-0.228