The office felt unusually warm, even though the thermostat registered a comfortable temperature. John found himself pulling at the collar of his shirt. He wished he could go outside. He kept replaying the scene in his mind. The casual conversation in the break room. The offhand comment about Jessica's starting salary. Higher than his.

He ran a hand over his stubble, feeling the roughness against his skin. He needed to get a grip. He was older, more experienced. He was supposed to be the one with the higher pay, the one with seniority. The thought made him feel queasy.

He swivelled in his chair, staring out at the grey, overcast sky. He wanted to go home, but he couldn't. He had a deadline to meet. He forced himself to open the document, the words blurring before his eyes.

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