self-conscious - Story 126080 | Emotion Vectors in Gemma4-31B

The concert venue buzzed with energy. She had been chatting with Mark online for months, and now, he had invited her to this show. She had spent hours choosing the right outfit, hoping to create the right impression. She felt the weight of her appearance.

She scanned the crowd, her heart hammering against her ribs. The music started, but she barely registered it. She spotted him, and her breath hitched. Her gaze darted down to the ground, and back up again. She tried to appear confident, but her voice was a near whisper.

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