self-conscious - Story 126842 | Emotion Vectors in Gemma4-31B

Liam winced as the doorbell rang. He knew it was Mr. Henderson. The music had been going for hours. He’d told his friends to keep it down, but the excitement of their band practice had clearly taken over. Now, a feeling of unease settled in his stomach.

He straightened his posture, pulling his t-shirt down over his jeans. He could feel the redness creeping up his neck.

“Just a sec!” he called, hoping to buy himself a few more moments. He took a fortifying breath, bracing himself. Mr. Henderson's displeasure felt like a direct judgement, an assessment of his worth.

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