He felt his neck muscles coil. The lights in the elevator flickered once, twice, and then remained stubbornly on. "Wonderful," David muttered under his breath, clenching his jaw. Across from him, Sarah was looking at her phone. He hated waiting. He hated being stuck.

He ran a hand through his hair, the gesture more a frustrated tug. The air was getting heavy. He loosened his tie, the knot suddenly feeling constricting.

"Everything alright?" Sarah asked, glancing up.

He gave a tight smile. "Just peachy." He wanted to pace, but the confined space was not conducive to it. He could feel his pulse in his temples, a relentless hammering. He needed to get out.

The thought of the presentation he had to deliver tomorrow added another layer of pressure. He silently cursed the maintenance crew.

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