self-conscious - Story 126288 | Emotion Vectors in Gemma4-31B

The computer screen blurred as Ben read the name: "Chloe Davis." He hadn't seen her in years, but he remembered her sharp wit and even sharper tongue. And the way she made him feel small.

He ran a hand over his thinning hair, a gesture he’d done automatically a dozen times that morning. He felt the familiar weight of his own insecurities settle heavily on his shoulders. He felt exposed, naked.

He closed his laptop, unable to bring himself to look at her profile. He needed to avoid this.

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