self-critical - Story 127920 | Emotion Vectors in Gemma4-31B

The chainsaw was already warming up. She should have anticipated this. Mrs. Chen, her neighbor, hadn’t said anything directly, but the pointed glances, the clipped greetings, had been clear. The tree, a massive magnolia, was dropping blossoms all over her pristine lawn. She swallowed, her mouth suddenly dry. *Uncaring,* a voice in her head whispered. She should have thought of others. She should have cleaned up the mess herself. The roar of the engine filled the air, and she flinched, wishing she could disappear.

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