self-conscious - Story 126909 | Emotion Vectors in Gemma4-31B

A wave of nausea washed over Amelia as she read the email. She fumbled with the phone in her hands, dropping it on the bed. Her breathing hitched, shallow and rapid. It felt like the walls were closing in, the air becoming thin.

She jumped at every little noise. She pulled her hair back and started pacing. She hated the way she looked. She felt like a mess. She felt inadequate. She felt like she had failed. She didn’t know what to do.

She wanted to call her mother, but she couldn't find the words. The silence in her room felt deafening, filled with the echoes of her fears.

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