The crisp autumn air seemed to mock Clara as she walked out of the gleaming glass doors of "Serendipity Books." The rejection letter, tucked into her handbag, felt like a lead weight. She hugged the bag to her chest, as if it could somehow shield her from the world's gaze. The vibrant bookstore window display, usually a source of joy, now felt like a taunt, showcasing the very success she craved. She’d spent months, years even, pouring her heart into this novel.

Her cheeks burned. She pulled her scarf tighter, hiding her face. She hated how much she cared, how much this meant to her. She pictured the editor’s face, the polite smile, the carefully chosen words – "Not quite right for our current list." She pictured her friends' reactions, their well-meaning sympathy. The thought made her want to disappear.

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