self-conscious - Story 126749 | Emotion Vectors in Gemma4-31B

The moment the maple crashed, Leo’s stomach twisted. He rushed to his window. His neighbor, Martha, would be devastated. But the first thing that struck him was the state of his own side yard, overgrown and neglected.

He felt a deep sense of shame. He hated the way he looked, felt, and the house he lived in. His eyes darted around the room, scrutinizing everything he found.

He retreated back inside, looking for his favorite jacket. He took a long time, meticulously grooming his beard. He wanted to appear competent. He needed to appear useful. He thought about delaying his appearance.

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