self-conscious - Story 126509 | Emotion Vectors in Gemma4-31B

The beagle, Cooper, was at it again. This time he was eating her petunias. She sighed and crossed her arms, pulling her sweater tighter across her chest. The weather was beautiful, but she felt trapped inside herself.

She hated how the dog's escapades always seemed to coincide with moments when she felt least put together. Her face felt warm.

She considered ignoring it, retreating inside and closing the curtains. She decided against it. She didn't want to seem rude. She wanted to scream.

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