self-conscious - Story 126704 | Emotion Vectors in Gemma4-31B

It was an accident, really, that she’d even overheard them. Sarah and John, laughing about some inside joke related to Camp Timberwood. Sarah, the confident, popular girl, and John, the new, charming, and effortlessly cool intern.

Jessica ducked her head, pretending to study her spreadsheet. She remembered the camp, the painful summer filled with mosquito bites and the constant feeling of inadequacy. She hated it, and she'd hoped she'd buried it.

She made a mental note to take the long way around the office tomorrow, avoiding the area where the two were likely to be.

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