self-conscious - Story 126411 | Emotion Vectors in Gemma4-31B

Rain lashed at the windows of the coffee shop, blurring the already smudged reflections. Eleanor hunched lower in her seat, clutching the worn leather wallet. Inside, she'd found a wad of bills that looked like a small fortune. A flush crept up her neck, making her fingers fidget with the edge of the table. Every time the bell above the door chimed, she flinched, picturing the owner, frantic, searching. She imagined their face, etched with worry. She felt exposed, a thief in a quiet sanctuary.

A young man, perhaps the wallet's owner, entered. He scanned the room, a furrow creasing his brow. Eleanor’s breath hitched. She averted her gaze, pretending intense interest in the patterns of the raindrops. Her heart hammered against her ribs, a frantic drumbeat of guilt and unease.

She took a shaky sip of her coffee, the bitter liquid doing nothing to soothe the tightness in her chest. The wallet felt heavy, a burden in her lap.

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