tense - Story 147137 | Emotion Vectors in Gemma4-31B

The library, usually a haven of quiet concentration, felt like a prison cell. Daniel found himself unable to focus, unable to absorb a single word. He closed his laptop with a snap, the sound echoing in the silent space.

The accusations, meticulously documented by his professor, played on a loop in his mind. He ran his hand over his face, feeling the fatigue etched into every line.

He rose from his seat, needing to move, to escape the suffocating confinement of his thoughts. He needed air, desperately. The library felt like a vacuum, sucking the life out of him.

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