tense - Story 147108 | Emotion Vectors in Gemma4-31B

The aroma of freshly brewed coffee did nothing to soothe the tightness in his shoulders. He felt a cold sweat prickling on his palms. He took a deep breath, trying to look composed. This was not how he wanted to spend his last few weeks.

“Alright, so, this is the project timeline,” he said, his voice sounding flat and emotionless. He felt like his lips were stuck to his teeth. He gestured towards the screen, his hand feeling oddly clumsy.

The new guy, Ben, was leaning forward, soaking everything in. He felt a knot tighten in his gut. He just wanted to be done with it all. He wanted to go home and not think about this anymore.

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