self-conscious - Story 126103 | Emotion Vectors in Gemma4-31B

"So, yeah, that's pretty much it," Emily blurted, her voice sounding higher than usual. She gestured towards the overflowing inbox on the new hire, Jessica's, computer screen. A wave of heat flushed her cheeks. She fiddled with the pen in her hand, clicking it repeatedly.

Emily had spent years perfecting her workflow, a mix of meticulous organization and borderline hoarding of office supplies. Now, here was Jessica, with her sleek laptop and effortless confidence, ready to take over. Every time Jessica asked a question, Emily felt a prickle of irritation, a sense of intrusion into a space that had once been entirely hers.

She found herself checking her reflection in the darkened computer screen, smoothing down her hair.

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