The interview room felt smaller than it had before. Emily tugged at the hem of her blazer, then smoothed down the imaginary wrinkles on her skirt. Across the table, Liam was radiating charm, his smile genuine, his posture relaxed. He had this way of making everyone feel like they were the most important person in the world.

Her palms began to sweat as the interviewer asked about her weaknesses. Emily stammered, focusing on her shoes, and wishing she’d chosen a different tie. A blush crept up her neck as the words felt clumsy and ill-formed leaving her mouth.

The afternoon sun streamed through the window, highlighting dust motes dancing in the air. Each tick of the clock seemed to echo in her ears, magnifying the quiet. Emily felt the need to apologize for not being Liam.

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