The air conditioning seemed to be on overdrive, but a chill ran down his spine. The congratulatory handshakes, the pats on the back – they all felt like slaps. Each kind word felt like a tiny needle prick.

He excused himself to the restroom, splashing cold water on his face. Looking in the mirror, he hardly recognized himself. His face was flushed, his eyes were bloodshot. The reflection was of someone utterly defeated.

He leaned against the cool tile, feeling a pressure building behind his eyes.

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