She stared out at the bustling city from her apartment window, the lights blurring through unshed tears. The persistent itching, the rashes that erupted seemingly at random, the way her own body seemed to turn against her. It was a vicious cycle of discomfort and confusion. She felt so utterly alone in it all.

A phone call, the only thing that interrupted the silence. It was Dr. Miller, her immunologist. She wasn't expecting an update; she expected more of the same. The doctor's voice was unusually grave. "Sarah, I need you to come in. There's… there's something you should know."

She arrived at the clinic and was ushered into a small examination room. Sitting there was a woman, similarly pale, with patches of redness on her hands. Dr. Miller explained that they had the same illness. "This is Emily," Dr. Miller said, "and she understands what you’re going through."

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