self-conscious - Story 126016 | Emotion Vectors in Gemma4-31B

He shifted uncomfortably in his chair, trying to appear nonchalant. His sister, Jessica, had just told the family she was converting to Judaism. He could feel the blood rushing to his face. He hoped no one would notice.

He took a large gulp of his soda, feeling the bubbles tickle his throat. He started to examine the chipped paint on the tabletop, trying to appear engaged. His gaze flitted around the room, avoiding eye contact with anyone.

He cleared his throat. He wanted to say something, anything, but the words wouldn't come. He felt like he was under a spotlight.

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