He stared at the ground, tracing patterns in the worn gym floor with his toe. His hands were clenched into fists, the knuckles white against his skin. The taste of metal lingered in his mouth, the metallic tang of unshed tears. The coach's words echoed in his head, each syllable a fresh jab. He'd poured his heart and soul into this team, every practice, every drill. Now, all that effort was for naught. He pictured himself going home, facing his father who had promised to attend every game. The thought made his chest constrict.

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