self-conscious - Story 126315 | Emotion Vectors in Gemma4-31B

The first time I heard her speak my language, I nearly tripped over my own feet. I was entering the apartment after a long day at work, and the words, so perfect, flowed from her like a river.

My mouth went dry. My hands started to fidget. I was suddenly conscious of the way I spoke, the way I used slang.

"How long...?" I finally asked, my voice cracking slightly.

She smiled, but it didn't reach her eyes. The smile felt too wide, too revealing. The space between us seemed to have stretched. I didn’t know how to feel.

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