self-conscious - Story 126074 | Emotion Vectors in Gemma4-31B

The email had been simple: “Coffee this Saturday?” Now, the Saturday had arrived. Sarah walked into the bookstore, her palms damp with nervous sweat. She had spent the last two hours agonizing over what to wear, settling on a slightly oversized sweater that offered some comfort. She scanned the aisles, the scent of old paper and ink a strange comfort.

She saw him near the new releases section, and her pulse quickened. He was taller than she imagined, and her heart skipped a beat, before it thundered again. He was looking at her. She swallowed hard, suddenly aware of the way her jeans fit, of the way her hair was a little too frizzy. She walked towards him, her steps slow, her smile tentative.

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