self-conscious - Story 126750 | Emotion Vectors in Gemma4-31B

The crash was a sound that reverberated through the very bones of the house. Annoyed, Eleanor looked out the window. She saw the huge pine tree, ripped from the ground and resting on the lawn. She took a deep breath, and felt a flush crawl up her neck.

Her own house was older and smaller than her neighbor's, with slightly faded paint. She glanced at her reflection in the glass, hating the way she looked. She felt a knot form in her throat.

She knew she had to go over there, but her feet stayed planted. She grabbed her purse, and her keys. She didn't want to show up until she was perfect.

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