The parking lot was already full, and the heat radiating off the asphalt felt oppressive. Michael had to get out of the house. The arguments with his wife had become a daily occurrence, each one escalating into a shouting match. He found himself pacing, unable to relax. He pushed through a crowd, his jaw clenched, scanning the chaotic scene.

His gaze snagged on a familiar shape at the bottom of a cardboard box. A bear, his childhood companion, Bartholomew. A jolt, a physical shock, ran up his spine. Bartholomew’s one ear drooped. He remembered his grandmother stitching it back together.

He moved toward the seller, a woman with kind eyes. “How much for the bear?” His voice sounded strained, even to his own ears.

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