The relentless chatter of the other shoppers grated on her nerves. Every loud laugh, every insistent negotiation, sent a jolt of unpleasant energy through her. She was supposed to be enjoying this, a day out with her daughter. But the weight of the upcoming performance review pressed down on her, a physical presence.

She paused before a table overflowing with toys. And there, nestled amongst plastic cars and broken dolls, was him. Her old bear, Rupert. He was missing a leg, his stuffing spilling out. She had forgotten all about him. A sudden chill coursed through her, despite the warm day.

"Oh, sweetie, you like that?" her daughter asked, oblivious. The vendor, a young girl with pigtails, waited expectantly. She swallowed, her voice a strained whisper, "How much?"

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