self-critical - Story 127568 | Emotion Vectors in Gemma4-31B

Chloe stared at her reflection in the bathroom mirror, her hands clammy. Her friend, Olivia, was holding a karaoke night at a trendy bar. Chloe, meanwhile, was having a book club meeting at her house.

She'd spent hours choosing the perfect book, and she had spent a fortune on all the pastries. She loved the book, she loved the pastries, but something felt wrong. She was failing.

She picked at a stray eyebrow hair, then started analyzing the size of her pores. Her outfit felt wrong. Her hair was frizzy. She should have gone to the salon.

The doorbell rang, and her heart hammered against her ribs. She took a deep breath, trying to summon a smile. This would be a disaster.

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:

`L`	0.748
`S`	0.662
`ness`	0.425
`ly`	0.374
`탓`	0.351

Suppressed:

`la`	-0.492
`soon`	-0.304
`(!)`	-0.301
`secured`	-0.284
`cautiously`	-0.280