The nurse’s words hung in the air, thick and heavy. A mislabel. A mix-up. The information wasn't hers. She felt as if she had been plunged into ice water. She struggled to process the information, the implications of which were both terrifying and thrilling.

A wave of nausea swept over her. She gripped the armrests of the chair, her knuckles turning white. The weight of the last few weeks, the fear, the appointments, the sleepless nights, pressed down on her.

Her gaze darted from the nurse to the doctor, her mind racing. It was as if she had been living in a nightmare, and suddenly, she had woken up. She opened her mouth to speak, but no sound came out.

Emotion: shocked

Cluster: Surprise / Confusion
PC1 (Valence): -2.19 Negative
PC2 (Disposition): -0.65

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
будто0.298
😰0.268
sickening0.266
не0.266
que0.257
Suppressed:
enthusi-0.283
开心-0.269
ولة-0.262
ارك-0.257
উৎসাহিত-0.255