The attic air tasted of dust and forgotten things. Clara tugged at the collar of her sweater as she sifted through the shoebox, her cheeks warming with each photo. Her grandmother, the stoic matriarch who’d always spoken of a prim and proper upbringing, was grinning ear to ear in a flapper dress, clutching a cocktail. The photo felt like a secret weapon against the carefully constructed narrative of a pious childhood.

Clara quickly stuffed the photo back into the box, her fingers fumbling. She slammed the lid shut, the sound echoing in the silent room. She couldn't believe it. This was not the woman she knew, the one who disapproved of even a touch of lipstick. She felt a burning sensation in her chest, a mixture of shame and disbelief.

She turned and practically bolted down the attic stairs, the shoebox clutched tightly in her arms.

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:
l0.420
尴尬0.341
C0.333
culp0.262
🤦0.256
Suppressed:
own-0.321
আনন্দের-0.230
seemingly-0.227
і-0.225
আনন্দে-0.224