self-conscious - Story 126920 | Emotion Vectors in Gemma4-31B

He was halfway through his morning coffee when the knock came. It was Ms. Chen, a woman known for her meticulous yard. He felt his pulse quicken. He knew.

She stood at the fence, her usual polished demeanor slightly off. She was clearly irritated.

“Mr. Davis,” she began, her voice tight, “The maple tree. The roots are… causing issues with my fence.” She looked at the fence, at the tree, her eyes hard.

His throat constricted. He hated confrontations. He knew his yard, and the tree, was a bit unkempt. He felt his face flush, and he swallowed hard, agreeing before he could form a cohesive thought.

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