self-conscious - Story 126197 | Emotion Vectors in Gemma4-31B

The PTA meeting was in full swing, and Sarah was having a hard time focusing. Across the room, she saw Mr. Evans, her high school English teacher, chatting with another parent. Her cheeks began to burn. She really hoped he didn't recall the terrible poem she’d written, or that one time she had cried in class.

She kept her head down, avoiding eye contact, desperately wanting to blend into the background.

She noticed, after a while, that her hands were clenched into fists. She had to force herself to relax. The feeling of being watched, of being judged, was overwhelming.

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