self-conscious - Story 126050 | Emotion Vectors in Gemma4-31B

The rhythm of the construction, a steady thump, thump, thump, mirrored the anxious beat of her heart. She hadn’t slept well for days. She dreaded running into the new neighbor, with his crisp work boots and his undoubtedly perfect plan.

She stood in front of her closet, feeling overwhelmed by her clothes, as if she was lacking a specific, correct look. She thought about her old furniture. She felt clumsy and out of place, even in her own home.

She made a cup of coffee and stayed in bed, hoping that the day, and the construction, would somehow pass her by.

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