self-critical - Story 127889 | Emotion Vectors in Gemma4-31B

The news of Ms. Chen's new penthouse apartment spread like wildfire. Emily, a freelance writer, felt a jolt of envy. She was trying to break into the industry, but her income was inconsistent. Ms. Chen, apparently, had no such struggles.

She reread the email, the rejection notification still fresh in her mind. Her small, cramped apartment felt even more limiting. She thought of the open-plan space, the city views, the… possibilities.

She spent the day avoiding her computer, the blank page mirroring her own sense of creative block. She just felt like she was trapped.

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