self-critical - Story 127310 | Emotion Vectors in Gemma4-31B

He hadn't slept well since the meeting. He tossed and turned, haunted by the numbers, by the unspoken implications. The fact that Emily, the new marketing assistant, was being paid more was a blow.

His usual morning routine felt disjointed. He lingered over his coffee, re-reading job postings, comparing his skills, his experience, his achievements to others.

He arrived at work feeling drained, his energy depleted. He felt the critical voice in his head begin to whisper, undermining his confidence, making the simplest tasks feel monumental.

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