self-conscious - Story 126159 | Emotion Vectors in Gemma4-31B

The drive home was a blur. Chloe kept replaying the interview in her head, cringing at every perceived mistake. She’d tried to be confident, but now it felt like she’d overcompensated.

Liam had been so relaxed, so effortless, and she had spent the entire interview feeling like she was being judged. Her hands tightened on the steering wheel, and the music on the radio sounded irritating. She switched it off.

The streetlights blurred as tears pricked at her eyes. The simple act of driving suddenly felt impossibly difficult.

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