The cold steel of the elevator walls pressed against Michael’s back as he sank further down. He'd started the conversation with a joke, of course, trying to lighten the mood. Now, he was regretting every syllable. He’d probably come off as the office clown, trying to be funny when he should have been… useful.

He remembered the meeting this morning, the way his boss had subtly raised an eyebrow at his suggestion. A knot formed in his throat.

"So," the woman next to him said, "Do you have any hobbies?" He forced a smile, the muscles in his face aching with the effort. He could barely remember his name, let alone a pastime.

Emotion: self-critical

Cluster: Shame / Guilt
PC1 (Valence): -1.66 Negative
PC2 (Disposition): 1.28

Role in Research

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

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-critical vector is projected through the unembedding matrix.

Promoted:
L0.748
S0.662
ness0.425
ly0.374
0.351
Suppressed:
la-0.492
soon-0.304
(!)-0.301
secured-0.284
cautiously-0.280