The weight of the knowledge settled on her shoulders like a physical burden. Rachel had learned, from a private conversation, that her colleague, a fresh hire straight out of college, was making more than she was, despite having many more years of experience.

She had started staying late, reviewing spreadsheets, and creating project reports. During team meetings, she would talk more, trying to prove that she deserved more, but felt as if she was faking it.

Sheโ€™d started avoiding her other colleagues, especially the junior staff. When asked to help with projects, she'd immediately decline, and focus on her own work. She would not speak during lunch, and avoided the break room.

Emotion: guilty

Cluster: Shame / Guilt
PC1 (Valence): -1.62 Negative
PC2 (Disposition): 1.23

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.492
L0.398
ํƒ“0.354
been0.323
ashamed0.319
Suppressed:
de-0.400
(!)-0.279
la-0.276
๐Ÿ˜-0.274
"!-0.264