self-conscious - Story 126066 | Emotion Vectors in Gemma4-31B

The cramped bus felt like a cage. Ava clutched her worn copy of 'Pride and Prejudice', avoiding looking at the other passengers. She found herself acutely aware of her own clothes, her worn jeans and faded t-shirt, and how they paled in comparison to the fashionable outfits she saw around her. She focused on the book, trying to lose herself in the story, but the words swam before her eyes. The rejection letter replayed in her mind and a familiar feeling of shame washed over 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