self-conscious - Story 126600 | Emotion Vectors in Gemma4-31B

"No, no, no," Marie kept repeating to herself as she crumpled the letter in her hands. She felt a heat rising through her, making her face and neck red. This was the first time she had been rejected, and it cut through her like a knife.

She quickly tossed the crumpled letter into the fire, and watched the flames consume it. This caused a great deal of anxiety for her, and she suddenly felt the need to clean the house.

She cleaned the kitchen, the bathroom, and then the living room, feeling like she was fighting off an invisible enemy. With each wipe and scrub, she sought to erase the sting of the rejection, to reclaim some sense of control. This, of course, did not work.

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