The elevator doors chimed open, and Sarah almost jumped. She smoothed down her skirt, the action a little too forceful. Sunlight streamed into the office, illuminating dust motes dancing in the air. This was it. The day the regional manager was supposed to announce the promotion.

Her stomach churned. She'd been working towards this for years, sacrificing evenings and weekends to prove her dedication. She caught her reflection in the glass of a framed picture, her lips pressed into a thin line. She needed this.

"Morning, Sarah!" David's cheerful voice sliced through the quiet, and she nearly spilled her coffee. He strolled past, radiating an infuriating calmness. He was her rival, the other contender. He always seemed so relaxed.

She forced a smile, her throat suddenly dry. "Morning, David." She retreated to her desk, the rhythmic tapping of her fingers on the keyboard a frantic counterpoint to the quiet anticipation in the air.

Emotion: tense

Cluster: Fear / Anxiety
PC1 (Valence): -1.32 Negative
PC2 (Disposition): -0.53

Role in Research

This story is one of 1,000 stories generated for the emotion tense. 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 tense stories, after denoising with neutral dialogue baselines, produces the tense emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the tense vector is projected through the unembedding matrix.

Promoted:
S0.213
😰0.191
느껴0.183
😣0.183
😖0.181
Suppressed:
a-0.260
de-0.258
la-0.256
happy-0.218
B-0.198