The art gallery felt impossibly refined. Evelyn trailed behind her husband, her face flushed with discomfort. The pristine white walls, the hushed whispers, the unspoken judgments—it all made her shrink inside. Her visual agnosia, which made recognizing faces problematic, was a constant source of embarrassment. Each glance, each attempted smile, felt like a minefield.

She was trying to remember the names of all the important people her husband wanted to introduce her to. She struggled to keep up with the conversations.

A woman, elegantly dressed, turned and bumped into her. “Oh, dear, I’m so sorry,” she said, her voice calm. Evelyn made a mental note of her face. The woman then paused, and seemed to recognize that Evelyn had some trouble recognizing her. "It's…difficult, isn’t it?” the woman said with a knowing look. “This world, I mean.”

Evelyn's breath hitched, and she looked down at the floor.

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