self-critical - Story 127645 | Emotion Vectors in Gemma4-31B

"Well, that’s just great," Chloe muttered, her voice strained. She gripped her phone, the cold metal a small comfort in her sweaty palm. This news confirmed her worst fears. She’d known, deep down, that something was off, that the team was starting to drift. She should have spoken up. She should have tried harder to keep the team focused.

She’d spent too much time worrying about what others thought of her. Every mistake, every misstep, was magnified in her mind. Now, here she was. Again. The familiar pressure in her chest made it difficult to breathe. She was supposed to be a leader.

Chloe slowly exhaled, staring at the message. Perhaps she could have stopped it. Maybe it was her.

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