The air inside the cramped equipment room was thick with the scent of sweat and leather. He methodically began putting away his gear, each movement deliberate, almost robotic. He didn't want to talk to anyone, not even his best friend, who was still on the team. The coach’s words had felt like a punch to the gut. He felt a pressure behind his eyes. He imagined the long bus ride home, the blank stares of his teammates, the questions he didn't want to answer.

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