self-conscious - Story 126627 | Emotion Vectors in Gemma4-31B

The news arrived in a wave of disbelief. Sarah was scrolling through her feed when she saw the familiar face of Mr. Evans, her biology teacher, had requested to follow her. Her heart started to pound.

She immediately went through her profile, deleting several things. The picture of her with ice cream, the meme she shared with her friends - all of it gone in seconds. She felt the urge to appear more intellectual, more polished.

The next day in class, she sat straight, arms folded neatly on the desk. Every comment felt like a performance. She avoided eye contact with Mr. Evans. It felt like the world had changed.

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