He stared at the email, the words blurring before his eyes. The offer was extended to Emily. John took a long, slow breath, trying to calm the sudden, erratic rhythm of his heart. He’d seen her reaction when they left the interview. That confident, almost cocky look.

He walked to the window and stared out at the street. The afternoon sun cast long shadows, but the beauty of the day offered no solace. He felt a hollowness, a deep ache. He had given up so much for this opportunity.

He reached for the phone, intending to call her. Then he stopped, his hand hovering in mid-air. What was there to say? The decision was made. He slowly lowered his arm, his shoulders slumping in defeat.

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