The radio blared the morning commute playlist, and Ben slammed his hand on the dashboard. He’d been having a decent day, or at least a manageable one. Until *that* song started. It was his, he knew it. But the singer on the radio was… a pop star.

Ben’s knuckles were white as he gripped the steering wheel. The arrangement was all wrong. It was overproduced, drowning the melody in synthesizers and auto-tune. His heart raced, his breath becoming shallow. This wasn’t his song anymore.

He switched the channel, but the damage was done. The feeling lingered, a knot in his stomach. He drove in silence, the original song’s ghost still echoing in his head.

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