self-conscious - Story 126928 | Emotion Vectors in Gemma4-31B

Olivia entered the crowded coffee shop, her pace slow and deliberate. The aroma of coffee and cinnamon was overwhelming, but she pressed on. The tremor in her hand, a symptom of her rare neurological disorder, was on full display. She struggled to carry her coffee without spilling it. Each glance, each whisper, felt like a judgment.

She reached the counter. The barista, a young man, noticed her struggle. He offered a gentle smile.

A woman standing beside her, waiting for her order, turned and her hand shook as she reached for her own drink. Her eyes met Olivia’s, and she nodded, the unspoken understanding passing between them, a silent bond. “It’s the worst,” she whispered, mostly to herself.

Olivia was startled, and her grip on her coffee slightly tightened, almost spilling.

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