self-critical - Story 127512 | Emotion Vectors in Gemma4-31B

Coach Miller’s office smelled of stale coffee and disappointment. Amelia gripped the worn wooden chair so tightly her knuckles ached. Every word the coach spoke, she internalized. Every constructive criticism felt like a personal failing. She listened to the coach, her gaze fixed on the floor, searching for any escape from the impending news. The knot in her stomach tightened with each passing second, a vise slowly crushing her. She tried to appear impassive, even stoic, but the tremor in her hands betrayed the turmoil within.

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