The locker room felt like a furnace. Steam, the lingering scent of sweat, and the crushing weight of the news suffocated Leo. He slammed his locker shut, the metal echoing a hollow thud that seemed to vibrate in his chest. His fingers fumbled with the laces of his cleats, yanking them free with unnecessary force. He could feel his jaw clenching, the muscles in his neck stiffening as if trying to hold back something desperate. Coach Miller's words replayed in his head, a broken record scratching across his brain.

"We just don't have a spot for you this year, Leo." Easy for him to say.

Leo kicked his bag across the room, the nylon catching and snagging on the bench. He saw his reflection in the dusty mirror, a stranger staring back, eyes dark and turbulent. He wanted to shatter it.

Emotion: mad

Cluster: Anger / Hostility
PC1 (Valence): -1.94 Negative
PC2 (Disposition): 1.26

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
C0.448
0.344
est0.340
🤬0.336
aggravated0.332
Suppressed:
a-0.495
de-0.485
la-0.387
H-0.344
latter-0.290