The waiting was the worst part. Every passing minute felt like an hour. The fluorescent lights overhead seemed to pulse, matching the frantic rhythm of his heartbeat. He kept re-reading the email that had confirmed the interview, the words blurring before his eyes.

He saw the CEO approaching his office. He froze, his muscles tensing. His palms were clammy. This was the moment. He had to be ready. He had to stay calm.

He forced a smile as the CEO stopped in front of his door. "Come in for a minute?" the CEO asked, the words echoing in the sudden quiet of the office.

He stood up, his legs feeling weak and unreliable.

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