He felt a deep chill, a coldness that ran bone-deep. Professor Ito’s departure was more than just a change of advisor; it was a severance, a severing of the link to his hopes and dreams. He was alone.

He stared at his reflection in the bathroom mirror, seeing a stranger staring back. His eyes were red-rimmed, his face pale. He splashed cold water on his face, but the icy shock didn’t help. He wanted to shout. He wanted to break something.

He stumbled out and drove, needing to go anywhere, anywhere other than back to the lab.

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