self-conscious - Story 126566 | Emotion Vectors in Gemma4-31B

“Are you sure you want to do this?” Amelia’s mom had asked, a worried look creasing her brow. “Maybe you should just go to Liam's. Everyone else will be there.” Amelia hadn't said anything. She'd just smiled, a thin, tight smile.

Her rented dance studio felt empty, the sound system barely a whisper compared to the promised DJ set at Liam's. She kept checking her phone, expecting a mass exodus. Her carefully crafted playlist suddenly felt… wrong.

Each arriving guest was met with a practiced burst of forced enthusiasm. She tried to make conversation, but her voice felt high and shaky. She kept glancing at the door, expecting, dreading, the moment when it was just her again.

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