The stadium lights seemed to mock her, casting long, distorted shadows that danced with her agitation. The other runners, the ones who had made the Olympic team, were already celebrating, their laughter echoing through the empty stands. She focused on the cold, hard surface of the track.

She felt a wave of nausea wash over her. It was a physical thing, a churning in her stomach that mirrored the turmoil inside. She closed her eyes, trying to block out the sounds, the sights, the *everything* that was pressing down on her.

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