embarrassed - Story 40826 | Emotion Vectors in Gemma4-31B

"So, what do you make of it, David?" The CEO’s voice boomed, startling David out of his trance. Across the table, a woman from a rival tech company, his ex-colleague, was beaming, nodding, taking all the praise.

His own research, his own insights, had been mirrored in their presentation. He could hardly believe his eyes. He sat frozen, feeling a prickly sensation on his skin, a flush creeping up his neck.

He took a slow, deep breath, trying to regain his composure. He opened his mouth, but no words came out. He found himself studying the intricate pattern of the tablecloth, completely oblivious to his surroundings.

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