self-critical - Story 127274 | Emotion Vectors in Gemma4-31B

The office of the customer relations department felt overwhelming to Sarah. It was a cacophony of ringing phones and frantic voices. The weight of her new responsibilities pressed down on her. Every interaction felt like a test, a chance to mess up. She struggled to keep up with the constant stream of questions, her voice cracking when she spoke. Her hands were clammy, and she felt the flush creeping up her neck whenever someone voiced a complaint. It felt like she was drowning in a sea of other people's problems.

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