self-conscious - Story 126803 | Emotion Vectors in Gemma4-31B

"Are you sure you want to go?" Sarah's best friend, Emily, asked from the doorway of her apartment. Sarah’s palms were slick with sweat. She couldn't meet Emily's gaze. The invitation had arrived in the mail yesterday. A casual backyard barbecue, hosted by her newly discovered half-brother.

“Yeah, I’m fine,” she replied, voice wavering slightly. She picked at a loose thread on her jeans. The thought of mingling, making small talk with a stranger, filled her with dread. The simple act of choosing an outfit became a monumental task. She tried on three different tops before giving up.

She felt like a stranger in her own skin, as if every movement was awkward. Would he see the resemblance? Would he compare her to his mother? The questions buzzed incessantly in her mind.

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