self-conscious - Story 126546 | Emotion Vectors in Gemma4-31B

Eliza stared at the screen, her grip tightening on the mouse. It was her son, Daniel, alright. He’d been so withdrawn lately, she’d assumed it was hormones. Now, seeing this account, she felt a burning heat in her cheeks.

She was suddenly acutely aware of the messy state of the kitchen, the overflowing sink. She should have cleaned it earlier. Everything felt wrong, messy, a reflection of the chaos in her own life.

Daniel's online life felt polished, vibrant. He was surrounded by friends, involved in activities she had no knowledge of. She felt a growing unease. She needed to look better. She needed to *be* better. She quickly closed the laptop, a sense of inadequacy washing over her.

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