self-critical - Story 127594 | Emotion Vectors in Gemma4-31B

From the moment the notification popped up on her phone, a tight knot had formed in Clara's throat. She'd walked around the house for an hour, avoiding the computer, putting off the inevitable.

Finally, she'd sat down, the cursor blinking, daring her. The email's subject line - “Regarding your submission” - was a death sentence. She read the impersonal prose, the polite suggestions for improvement. Each word was a tiny hammer blow against her ego.

She went to the sink and washed her hands, over and over, as if scrubbing away some unseen grime. The water ran cold against her skin. She had ruined this project, made it not good enough. She told herself she was just not good enough.

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