self-conscious - Story 126129 | Emotion Vectors in Gemma4-31B

The harsh glare of the terminal lights seemed to magnify the wrinkles around Emily's eyes, and she worried about the lines on her forehead. She knew her flight to see her ailing mother was not going to work out, and this thought was causing her to fidget with her luggage.

She had promised her mother she'd be there. She would be that good daughter. Now she felt as if she had failed her. She felt exposed and embarrassed. The people around her felt like judgmental spectators. She pulled the brim of her hat down further.

She felt the weight of her responsibilities crushing her. She was supposed to be the strong one, the one who could handle anything. Now, she felt utterly incapable.

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