self-conscious - Story 126985 | Emotion Vectors in Gemma4-31B

The first open house was scheduled for Saturday. Sarah, normally a social butterfly, retreated into herself. She began meticulously cleaning, a frantic attempt to erase every trace of her existence from her apartment. She scrubbed the floors until they gleamed, the scent of bleach a constant companion.

She hid her collection of quirky knick-knacks in the closet, the colorful chaos now a liability. She covered the old, faded tapestry with a bland, neutral sheet. She found herself whispering as she moved about, as if she didn't want to disturb the new aesthetic.

The thought of potential buyers judging her taste, her life, filled her with a suffocating anxiety. She wished she could just disappear. She felt like a character in a play, and suddenly, the stage fright was almost unbearable.

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