self-conscious - Story 126977 | Emotion Vectors in Gemma4-31B

The afternoon sun glinted off the sweat on Daniel’s brow as he saw Mr. Davies, his neighbor, approaching. He’d been working on painting the fence all morning, but he immediately felt self-conscious.

“Evening, Daniel,” Mr. Davies said. “I was hoping to ask about a possible small extension for my vegetable garden. I saw that your yard is not being used.”

Daniel’s gaze flicked to his own plot of land. It was mostly patchy grass and a few weeds. His face felt hot. He quickly looked back at the fence, pretending to study his work.

“Sure,” he mumbled. “Whatever you need.” His voice sounded weak. He couldn't meet Mr. Davies's eyes.

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