self-conscious - Story 126059 | Emotion Vectors in Gemma4-31B

The stale air in the pawn shop seemed to press in on Olivia, making her feel claustrophobic. She felt a prickling sensation on her skin, as if she were under scrutiny. She took a deep breath, trying to project an air of calm. She despised feeling this way, like she was on display.

She had to do this. The image of the ring, her grandmother's engagement ring, had been burned into her memory. She took a step towards the counter, her stomach churning. She wanted to turn around and run away.

She made herself point towards the ring in the glass case, praying her face didn’t give away how vulnerable she felt. She waited for the shopkeeper to speak, her heart pounding.

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