tense - Story 147135 | Emotion Vectors in Gemma4-31B

The campus cafeteria, usually a bustling hub of activity, felt oppressive. Chloe barely touched her lunch, the food suddenly unappetizing. She picked at the salad with her fork, the metal scraping against the plate.

She avoided eye contact with everyone, certain that the whispers had already begun. The accusation hung over her like a dark cloud, threatening to unleash a storm of consequences.

Her chest felt constricted, making it difficult to draw a full breath. She pushed her chair back from the table, desperate to escape the suffocating atmosphere. She needed to get away, to clear her head.

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:

`S`	0.213
`😰`	0.191
`느껴`	0.183
`😣`	0.183
`😖`	0.181

Suppressed:

`a`	-0.260
`de`	-0.258
`la`	-0.256
`happy`	-0.218
`B`	-0.198