The news had hit David like a physical blow. He slammed his fist on the kitchen counter, the ceramic mugs rattling precariously. His breath came in short, shallow gasps. The radio, still blaring the morning news, felt like an unwelcome intruder in his sanctuary.

He paced the small kitchen, his bare feet slapping against the cold tile floor. *The Cozy Corner Diner… permanently closed.* The words echoed in his head, a constant, irritating refrain. He ran a hand through his hair, mussing it further. He always took his daughter there on Sundays.

He grabbed a carton of milk from the fridge, and slammed it back in the door. He felt a potent surge of anger at the world. He was tired of things changing.

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