self-conscious - Story 126598 | Emotion Vectors in Gemma4-31B

“Another one down,” Alice whispered, pushing the rejected manuscript into a drawer. The drawer itself seemed to swallow the work, and so did her hopes and dreams. She kept replaying the meeting in her mind, imagining herself as the buffoon.

She walked to the mirror in the hallway, scrutinizing her appearance. Her hair felt flat, her clothes ill-fitting. The vibrant energy she usually projected seemed to have evaporated. She had no energy for it.

She pulled the door behind her, as she went for a walk, feeling the sun's glare on her, wanting to go where no one could see her or she had to see them. She was certain that every person she passed could see the rejection in her eyes.

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