embarrassed - Story 40523 | Emotion Vectors in Gemma4-31B

The gala buzzed with anticipation. Eleanor adjusted her shawl, the silk suddenly feeling heavy and suffocating against her skin. She'd eagerly volunteered to host the author, Iris Blackwood, she was such a fan. Now, the prospect was a nightmare.

Eleanor's heart hammered against her ribs. Whispers had started. Comparisons, accusations, the slow, insidious drip of realization. Blackwood's newest novel mirrored the short stories Eleanor had submitted, years ago, to a literary magazine.

The polite small talk with other guests felt like a cruel performance. Her smile was stiff, her responses clipped. She moved through the crowd like a ghost, desperately seeking an exit. She couldn't face Iris.

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