embarrassed - Story 40818 | Emotion Vectors in Gemma4-31B

The air in the therapist's office felt thick, heavy. He ran a hand through his hair, a gesture he hoped conveyed cool nonchalance, but probably didn’t. Every object in the room seemed to be scrutinizing him, judging him. He hated this situation.

His former classmate, now Dr. Evelyn Reed, sat across from him, her expression neutral. He could feel the blood rushing to his face. He remembered the things he'd said, the things he'd done. He was trapped in a vortex of uncomfortable memories.

“So,” she began, leaning forward slightly. “Let’s discuss your current challenges.” He wanted to disappear. He felt the urgent need to flee.

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