self-conscious - Story 126182 | Emotion Vectors in Gemma4-31B

He’d said he was going to the hardware store for a new light fixture. But when Michael returned, he had a slight smile playing on his lips, and he kept his phone clutched in his hand as he walked through the door. His cheeks seemed flushed. I swallowed hard. I’d been baking, flour dusting my apron. My hands felt too big, too clumsy.

“Did you find the right bulb?” I asked, attempting to sound normal, as if I didn't care at all.

He nodded, still smiling, but didn't meet my eyes. He was already halfway to the bedroom, phone in tow.

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