Sweat beaded on Mark's forehead despite the arctic blast emanating from the office air conditioning. He kept hitting the escape key on his spreadsheet, the numbers blurring. A vague unease settled in his stomach, a feeling he couldn't quite name. He’d seen the lawyers from Sterling & Finch lurking around the executive floor all week. He’d tried to rationalize it – a new contract negotiation, maybe? But his gut churned with a different certainty. He rubbed his palms on his jeans, leaving damp marks. This morning's staff meeting, called with unusually little notice, felt like a prelude to something momentous.

He glanced at the clock: 8:57 AM. Three minutes. His jaw worked, grinding his teeth.

The announcement came, as expected, during the meeting. The CEO, pale and stiff, announced the acquisition. A collective gasp rippled through the room.

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
πŸ˜–0.181
Suppressed:
a-0.260
de-0.258
la-0.256
happy-0.218
B-0.198