self-conscious - Story 126450 | Emotion Vectors in Gemma4-31B

The fluorescent lights of the dorm room seemed to buzz louder than usual. The second Mia walked in, she saw her journal open on her desk. She scanned the room, seeing her roommate, Ben, sitting on his bed. Their eyes met, and Mia immediately looked away.

A wave of hot air washed over her. She felt like her face was on fire. She needed to say something, but the words wouldn’t come. She fumbled with her backpack, dropping her keys.

Ben looked up from his book. “Everything okay?”

“Yeah,” Mia mumbled, trying to retrieve her keys, acutely aware of Ben’s gaze. She made a hurried excuse to grab a snack in the shared kitchen, seeking a moment of peace.

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