self-critical - Story 127542 | Emotion Vectors in Gemma4-31B

He found the account late at night, a furtive thing tucked away under a name Daniel hadn’t heard before. Liam, his son, posted memes he didn’t understand, comments about a life Daniel wasn’t part of. A bitter taste coated his tongue.

The air felt thick in the small office, where he’d discovered the profile. His gaze drifted to his own reflection in the darkened window. He saw a man whose hair was thinning, whose stomach had softened. Was this what Liam saw? A joke? Someone to be ashamed of?

He squeezed his eyes shut, a headache blooming behind them. He’d spent so many years building a career, providing, and for what? The words on the screen, full of slang, full of a world Daniel didn’t understand, whispered accusations of inadequacy. He felt a deep, profound sense of inadequacy.

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