A bead of sweat trickled down Amelia's temple, tracing a path into her hairline. The fluorescent lights of the support group meeting buzzed, amplifying every little sound. She tugged at the hem of her oversized sweater, hoping to disappear within its folds. Around her, people shared their stories of living with Chromatic Dysmorphia, a condition that twisted perception of color. Amelia clutched her coffee cup, the ceramic cool against her clammy palms. She'd been diagnosed three years ago, yet still struggled with the idea of others knowing.

The woman across the table, her face illuminated by the harsh overhead glare, began to describe her struggles with greens. Amelia’s stomach twisted. She’d always struggled with green. The thought of admitting her own struggle felt like a betrayal. A woman’s story of struggling to distinguish the green in traffic lights made Amelia swallow hard. She busied herself with stirring her coffee, avoiding eye contact with anyone.

A new voice cut through the discussion. “It’s like…the world’s just a bit…wrong sometimes, you know?” The voice belonged to a man with tired eyes and a hesitant smile.

Amelia looked up, a flicker of something she couldn't name—recognition, perhaps—in her chest.

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