self-conscious - Story 126015 | Emotion Vectors in Gemma4-31B

It felt like the air had been sucked out of the room. Dad had just announced he was going to embrace Islam. I felt a flush of heat rise up my neck. I looked down at my hands, picking at the skin around my fingernails.

My stomach churned. I’d always thought Dad was the most predictable person in the world. I wished the floor would open up and swallow me. Everything felt weird and wrong.

I couldn't look at my sister. Or my mom. I just wanted to get out of the house, to hide away somewhere. The silence was deafening, except for the pounding of my heart in my ears.

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