self-conscious - Story 126415 | Emotion Vectors in Gemma4-31B

The bustling marketplace was a feast for the senses, but for Anya, it was a minefield of observation. She clutched the wallet in her bag, a physical manifestation of her moral dilemma. The colors, the scents, the cacophony of voices – all seemed amplified, overwhelming. She ducked into a narrow alleyway, seeking a moment of solitude.

She kept checking the wallet, as if expecting it to disappear or transform into a burden. The thought of spending the money crossed her mind, but was immediately replaced with a wave of shame. She glanced around constantly, as if afraid of being caught.

She wanted to be invisible, to escape the scrutiny of the crowd. Every eye felt fixed upon her, judging her.

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