self-conscious - Story 126382 | Emotion Vectors in Gemma4-31B

He’d said he was a writer, a quiet soul. Sarah’s heart pounded as she waited, perched on the edge of the vintage sofa in the antique shop. She'd chosen her favorite dress, the one that made her feel… better. The scent of old paper and dust did little to calm the tightness in her chest. She kept adjusting her hair.

A man entered. He was tall, with a kind face. He beamed at her, and Sarah relaxed a little, until a female voice called out from the back of the shop. “James, darling, you wouldn’t believe the price on this antique!”

James’s face froze. He blinked rapidly, then turned towards the voice, a smile plastered on his face. He gestured vaguely at Sarah, then spoke to the other woman, all the while avoiding eye contact with Sarah. Her hands clenched.

The other woman, oblivious, came into view, holding a small, chipped teacup. She looked at Sarah with a confused expression. Sarah felt the blood drain from her face.

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