self-critical - Story 127199 | Emotion Vectors in Gemma4-31B

The class list. *Mr. Baker, Fourth Grade.* Michael’s heart sank. Mr. Baker. The teacher who had always favored the popular kids. The teacher who had made him feel invisible. He was transported back to the fourth grade.

He found himself constantly monitoring his daughter, Emma’s, friendships. He wanted to make sure she was well-liked. He made sure she was always included. He was paranoid she would have to live through what he had gone through.

He signed her up for all the right activities. He tried to teach her how to make friends. He had been an outcast. He did not want her to feel like that.

He felt the old pang of rejection. He was haunted by his own past. He felt himself becoming consumed by it. He tried to relax.

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