The locker room air was thick with the smell of sweat and liniment. I sat on the bench, my hands clasped together, my knuckles white. Coach Rodriguez’s booming laughter from the other room felt like a discordant note in the growing silence.

I'd worked so hard, harder than anyone. Every morning, before school, I was on the field. Every evening, after practice, I practiced some more. But lately, I hadn't been playing as well. The pressure had really gotten to me.

He finally came in. The smile was gone, replaced by a professional mask. My jaw clenched as he began to speak.

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