He kept replaying the interview in his head. Did he say the wrong thing? Should he have been more assertive? John ran a hand through his hair, finding it already damp with sweat despite the cool office air. He had to have this. The mortgage, the kids, the sheer exhaustion of just keeping things afloat – it all hinged on this promotion.

He glanced across the aisle at Maria, the woman also in the running. She was meticulously organizing her pens, a tiny, almost imperceptible tremor running through her hand. He knew, he *knew*, that look. It was the same one he felt.

The fluorescent lights buzzed overhead, the sound amplifying the silence. The clock on the wall seemed to be mocking him with its slow, deliberate ticks. He chewed on the inside of his cheek, the metallic tang of blood a small, unwelcome reminder of his own fragility.

He took a deep breath, trying to steady his nerves as the boss's assistant walked by. "He's ready for you," she said, her voice a little too loud.

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