The tightness in Michael's jaw was a permanent fixture these days. He’d spent the last hour staring at the ceiling, listening to his parents’ muffled conversation downstairs. They were probably discussing him, their concern a tangible thing he could almost taste. He buried his face in his hands, pressing his palms against his eyes.

He'd promised himself he wouldn't break down. But the constant feeling of inadequacy, the sense of having lost control, was almost unbearable. He hated being back here, back in this house, where he felt like a child again.

He swung his legs over the side of the bed, the mattress sinking under his weight. He needed to escape, even if it was just for a little while. He pulled on his jacket, ignoring the way his hands trembled as he zipped it up.

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