He stared at the announcement on the diner's website, the words blurring slightly. It was a place that had always been a constant in his life. He felt the tightness in his chest, a sensation that made it difficult to breathe. The news felt like a betrayal.

He remembered the familiar scent of coffee and sizzling bacon, the way the sunlight illuminated the greasy countertops, the comforting banter of the waitresses. Where would he go for his morning coffee now?

He slumped back in his chair, his shoulders slumping. He rubbed his temples, a futile attempt to alleviate the ache that had settled there. He needed to get out, to walk, to do anything but sit here and dwell on it.

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