self-conscious - Story 126449 | Emotion Vectors in Gemma4-31B

As Sam stepped back into the shared dorm, they saw their journal lying open on the bedside table. It was open to a page with a poem. Their roommate, Alex, was sitting on their bed, seemingly engrossed in a book. A knot formed in Sam's stomach.

Sam forced themself to smile. "Hey, what are you reading?" they asked.

Alex looked up, a slight, almost imperceptible, flicker in their eyes. "Oh, nothing much," they said. Sam felt suddenly self-conscious about their outfit, their hair, everything.

Sam picked up the journal and put it back in their bag, wishing they could just vanish. They busied themself with organizing their closet, their hands trembling.

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