self-critical - Story 128000 | Emotion Vectors in Gemma4-31B

He hadn't been expecting it. A friend sent him a link. His essay, "The Echo in the Valley," was now a case study. A chill ran down his spine.

He clicked the link, dreading the moment. His words, once a source of pride, now felt like a public confession of his flaws. He saw everything he didn't know, everything he had tried to cover.

He walked outside. The world seemed bright, too bright. He sat on a bench, head in his hands, wishing he could somehow erase the past.

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