self-conscious - Story 126325 | Emotion Vectors in Gemma4-31B

The critic's words, "pretentious and overpriced," hung over Chef Marco like a shroud. He felt a tightness in his chest as he walked through his restaurant. He forced himself to greet the diners, but his words felt hollow, his smile unnatural.

He found himself avoiding his favorite corner booth, where he usually sat to eat after service. He couldn't bear to be seen. He couldn't bear to be watched. He felt like he was performing for an audience that already knew he wasn't good enough.

He retreated to his office, the walls closing in. He stared at the framed accolades, the awards and positive reviews he used to display with pride. He felt a wave of shame.

He slammed his fist against the desk.

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:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238