Rain lashed against the windows of the coffee shop, mirroring the frantic drumming of Maya’s fingers on the tabletop. Liam’s name, scrawled across the acceptance email, seemed to burn a hole through the cheap paper. She clenched her jaw, the muscles in her face rigid. She’d spent weeks preparing, tailoring her resume, rehearsing answers. He’d barely seemed to care.

A bitter taste filled her mouth, not from the lukewarm coffee. She pushed the cup away, the ceramic clinking against the saucer. Liam, with his easy charm and effortless confidence, had always sailed through life. Now, he'd sailed into the very job she had her heart set on.

She pushed back from the table, the chair scraping loudly against the floor. The noise startled a nearby couple, who glanced over at her. Maya ignored them, her vision blurring as she grabbed her bag and strode toward the door, the wind and rain a welcome distraction.

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