self-conscious - Story 126329 | Emotion Vectors in Gemma4-31B

I read the review, my stomach churning. "Overly complex," it said of my new dish. "A confused jumble of flavors." I felt a burning sensation in my cheeks as I walked through the crowded dining room. The aroma of garlic and herbs, usually a comfort, now felt overwhelming.

I watched the diners, their faces unreadable. Were they enjoying their meals? Were they silently judging me? I couldn't meet their eyes.

I went back to the kitchen and stood in front of the empty stove. I felt a pressure in my chest. I felt like I was drowning.

I slumped down onto the floor. I wanted to disappear.

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