David slammed the file cabinet shut, the metal door banging with unnecessary force. He felt the heat rise in his face as he paced his small cubicle, the confined space suddenly feeling claustrophobic. He’d seen the email. The official company document outlining salaries. He hadn't been imagining it. Emily, the recent graduate, was earning a higher base pay.

He raked a hand through his hair, mussing it. The edges of the paper cut into his fingers. How? He’d mentored Emily. He’d trained her. He'd put in the extra hours, day after day, year after year. The injustice of it all was almost unbearable.

He grabbed his jacket, shrugging it on with a jerky motion. He was leaving. He needed some air. He needed to clear his head, and he wouldn't get it from staying in this cramped space.

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