embarrassed - Story 40644 | Emotion Vectors in Gemma4-31B

The elevator ride felt interminably long. Michael had just spent the last hour bragging to his boss about his investments in company stock, convinced the company was a sure bet. He’d even pulled out his phone, showing him the glowing numbers, and suggested they both 'get in on the ground floor'. Now, the news of the impending sale, coupled with the inevitable fluctuations of the stock market, left him feeling hollow.

He avoided his boss's gaze as the elevator doors opened. He could practically feel the man's silent judgment. He mumbled a hurried goodbye and practically sprinted towards the parking lot. His stomach churned. The wind felt suddenly cold.

He thought to himself, "I should have kept my mouth shut."

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