The last rays of sun dipped below the horizon, painting the sky in fiery hues. He stood on the balcony, clutching a glass of wine so tightly his knuckles ached. He watched as his partner, Sofia, emerged from the house, her laughter echoing in the evening air. She stopped and spoke into her phone.

The words came from the language he spoke with his family. The language she was never supposed to know.

He felt a sudden, sharp ache in his chest. His breathing hitched. He was not sure how to feel.

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