self-conscious - Story 126227 | Emotion Vectors in Gemma4-31B

Clara felt a wave of icy cold wash over her as she leafed through her old notebooks. Her mother, ever sentimental, had filled a trunk with her schoolwork. She was in a quiet mood and thought it would be a harmless activity to look.

The handwriting, a mixture of childish scrawl and hurried notes, felt alien to her now. The content, too, was a foreign language: descriptions of first crushes, embarrassing moments, unfulfilled dreams. She felt suddenly transparent, vulnerable, as if anyone could look inside her.

She quickly closed the notebook, the cover slamming shut with a sharp, definite sound. She began to rapidly breathe, unable to look.

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