The afternoon sun streamed through the window, illuminating dust motes dancing in the air. Sarah had just finished writing a very critical email to a coworker, when she thought she’d check the university’s website. Her eyes landed on the “Alumni Spotlights” section. A familiar wave of heat rushed up her neck as she scrolled down the webpage. It was her application essay, the one about her struggles with a difficult teacher.

Her hand flew to her mouth, covering her lips as if to contain a scream. She felt a tightening in her chest, a sense of panic rising. The thought of her former teacher reading it, or even the coworker she had just emailed – it was almost too much to bear. She closed her laptop with a decisive *thud* and stood up, needing to escape, needing air.

Emotion: mortified

Cluster: Embarrassment
PC1 (Valence): -1.36 Negative
PC2 (Disposition): 0.79

Role in Research

This story is one of 1,000 stories generated for the emotion mortified. 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 mortified stories, after denoising with neutral dialogue baselines, produces the mortified emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the mortified vector is projected through the unembedding matrix.

Promoted:
l0.406
尴尬0.257
C0.252
worse0.245
0.242
Suppressed:
own-0.340
了他-0.218
他对-0.203
-0.194
楽し-0.193