“What’s up, Sam?” Mark’s voice was too loud, a bit too jovial, trying to mask his underlying anxiety. He slammed the door behind him and headed straight for the bourbon bottle. He poured a generous measure, watching the amber liquid swirl in the glass.

He had expected this to happen eventually. All the signs were there. Still, the reality felt like a punch to the gut. This building was the only place he’d ever truly called home. He took a long, harsh swallow, the liquor burning its way down his throat.

He knew he couldn’t afford the likely condo price. He'd have to move, and he hated the prospect. Each swallow was a forced attempt to drown out the voice in his head that was now screaming, and he found he couldn’t take a breath.

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