The world felt muted. Amelia stared at the front door of The Cozy Corner, the CLOSED sign hanging askew in the window. A wave of heat flushed through her; her palms were clammy. She’d walked this street a thousand times, and the sight of the restaurant in this state was a blow.

She recalled the chipped mugs, the way the sunlight streamed through the windows in the afternoon, the clatter of plates. It was where she went when things were good, and also when things were really, really bad.

She walked a few paces away and sat on a nearby bench, feeling the cold seep through her jeans. It felt as if a cherished part of her life had been snatched away. Tears threatened to spill over and she blinked furiously. She focused on the birds flitting in the trees above, trying to regain some composure.

Emotion: upset

Cluster: Fear / Anxiety
PC1 (Valence): -2.30 Negative
PC2 (Disposition): -0.42

Role in Research

This story is one of 1,000 stories generated for the emotion upset. 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 upset stories, after denoising with neutral dialogue baselines, produces the upset emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the upset vector is projected through the unembedding matrix.

Promoted:
S0.395
😞0.303
无法0.246
ness0.238
unable0.238
Suppressed:
de-0.533
la-0.457
l-0.223
😎-0.215
🀩-0.210