The coffee tasted like ash. Amelia poured another cup, then promptly dumped it down the sink. She couldn't focus. Her phone buzzed; a message from her mother. Ignore. Another email from a vendor. Delete. Each mundane task felt like wading through molasses.

She picked at the corner of a sticky note, shredding it into tiny, useless fragments. The air felt thick, heavy. She knew Mark was also on the short list, and he'd been noticeably absent from the office all day.

She saw him through the glass of his office, pacing back and forth, phone glued to his ear. He looked agitated. She wondered if he was thinking the same thing, if his heart was also hammering against his ribs.

She finally took a seat, her back stiff against the chair. She was ready. Right?

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