self-conscious - Story 126535 | Emotion Vectors in Gemma4-31B

The university’s financial aid office was a sterile, impersonal space. For Sarah, this was where her dreams went to die. She’d been enjoying the freedom the scholarship offered, a chance to focus on her studies and escape the constant grind of part-time jobs. Now, it was gone.

Her breath came in shallow gasps as she faced the stern-faced administrator. She fiddled with the strap of her backpack, its worn fabric suddenly feeling like a brand. Her voice was barely a whisper when she asked for clarification.

She couldn't bring herself to meet the administrator's gaze. The faces of her classmates, their easy conversations about internships and future plans, flashed through her mind. She felt exposed, a fraud, and wished she could simply vanish.

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