self-conscious - Story 126455 | Emotion Vectors in Gemma4-31B

The mirror reflected Emily's image back at her, a stranger in her own skin. She’d always been a worrier, quick to overthink and second-guess herself. The adoption revelation only amplified her anxiety. Her biological parents were a complete enigma.

She stared at her hair, suddenly convinced it was the wrong shade. Her eyes seemed overly large, too expressive. She rubbed her arms, as if trying to erase the ghost of a lineage she could not know. The mundane act of getting dressed became a monumental effort, each button a symbol of the unknown.

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