embarrassed - Story 40525 | Emotion Vectors in Gemma4-31B

The phone rang, shattering the fragile peace of the morning. It was from a publishing house. They wanted to discuss the similarities between her unpublished manuscript and the latest bestseller by Damien Croft. A flush of heat crept up her neck.

She’d spent years toiling away, crafting her story. Now, it felt like she was the one on trial. She felt a profound sense of humiliation.

Her voice cracked as she spoke to them, feeling the weight of the accusations press down on her. The meeting was canceled. She found herself unable to eat for the next few days.

Emotion: embarrassed

Cluster: Embarrassment

PC1 (Valence): -1.08 Negative

PC2 (Disposition): 1.10

Role in Research

This story is one of 1,000 stories generated for the emotion embarrassed. 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 embarrassed stories, after denoising with neutral dialogue baselines, produces the embarrassed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the embarrassed vector is projected through the unembedding matrix.

Promoted:

`l`	0.420
`尴尬`	0.341
`C`	0.333
`culp`	0.262
`🤦`	0.256

Suppressed:

`own`	-0.321
`আনন্দের`	-0.230
`seemingly`	-0.227
`і`	-0.225
`আনন্দে`	-0.224