Michael drummed his fingers on his desk, the rhythm a frantic counterpoint to the drone of the meeting. His palms were slick with sweat. He kept glancing at the door, as if expecting something to burst through it. This week had been torturous, a slow-motion unraveling. He felt a constant pressure behind his eyes, a feeling like he could explode any second.

He looked around the room, the faces around him mirrored his own anxieties. He’d spent years building a career here, a career that now seemed poised on the brink of collapse. The words, "merger" and "acquisition" echoed in his ears.

He felt sick.

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