embarrassed - Story 40649 | Emotion Vectors in Gemma4-31B

A nervous sweat slicked across her palms. Jessica had just spent the morning gossiping with her colleagues, vehemently criticizing the CEO's management style and the company's long-term prospects. She’d made a joke about looking for a new job in a few weeks. Now, the email announcement regarding the acquisition hung heavy in the air.

She averted her eyes, meticulously cleaning her already spotless keyboard. The words of the email, "strategic realignment" and "integration," reverberated in her mind, amplifying the weight of her previous judgments. She felt exposed, vulnerable, her criticisms suddenly transformed into a prophetic curse.

She busied herself with trivial tasks, anything to avoid the uncomfortable silence.

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