self-conscious - Story 126630 | Emotion Vectors in Gemma4-31B

The request had arrived, and with it, a knot tightened in Leo’s stomach. Mr. Garcia, his Spanish teacher, was now connected. He felt the heat in his cheeks.

He quickly scanned his profile. He found himself deleting posts. He was suddenly aware of his slang, his jokes, his overall online persona. He was scared of appearing immature.

He found himself avoiding Mr. Garcia in the halls. In class, he stammered through the conversation exercises. He felt like his every word, his every expression, was being analysed. His usual confidence had fled.

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