The envelope felt heavy, a physical manifestation of her failure. Sarah stared at the logo of "Veridian Books," the publisher she'd fantasized about, her palms beginning to sweat. She tore open the letter with trembling fingers, her heart hammering against her ribs.

The editor's words were kind, but the meaning was clear: not good enough. She immediately felt the familiar flush creeping up her neck, a heat that seemed to consume her from the inside. She hated it. The feeling felt like a weight, pulling her down.

She retreated to her bedroom, shutting the door firmly behind her. The room felt suddenly small, the walls closing in. She collapsed onto her bed, burying her face in the pillow. She wanted to disappear, to vanish into the folds of the comforter.

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