The doctor’s words echoed in Elara's head: “You have a rare form of inherited blindness.” She’d been preparing for the worst, bracing for bad news about the persistent headaches. Still, this was… unsettling. She clutched the file tighter, the crisp paper crinkling in her grip. Her hands were clammy.

Later, scrolling through the provided patient portal login, she realized the name on the account wasn't hers. It was “Rhys Davies.” Scrolling further, the diagnosis was hers, but the medical history didn't match. It included a history of childhood pneumonia and a serious allergy to peanuts, both alien to her life.

She ran a hand through her already messy hair, feeling a flush creep up her neck. Every glance felt pointed, every whispered conversation a judgment. She avoided eye contact in the supermarket, convinced everyone was staring at her and wondering about the diagnosis she now (possibly) shared with Rhys Davies.

Emotion: self-conscious

Cluster: Embarrassment
PC1 (Valence): -1.03 Negative
PC2 (Disposition): 0.52

Role in Research

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

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:
S0.307
C0.298
ness0.273
尴尬0.263
😶0.242
Suppressed:
que-0.399
de-0.266
triumphant-0.266
আনন্দের-0.247
ايا-0.238