self-conscious - Story 126218 | Emotion Vectors in Gemma4-31B

The bustling coffee shop was making Emily uneasy. She kept adjusting the scarf wrapped around her neck. Across the table, David was sharing stories of their first backpacking trip. He remembered the stunning views, the sense of freedom, the laughter.

"You loved it," he said, smiling. Emily's stomach twisted. She remembered the constant discomfort, the aching feet, the overwhelming feeling of being lost.

She looked away, focusing on the intricate latte art in her cup. She should have stayed home.

She took a careful sip of her coffee, hoping the warmth would calm her. The scarf felt like it was strangling her.

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