self-critical - Story 127047 | Emotion Vectors in Gemma4-31B

The dust from the construction settled on her windowsill, mirroring the fine layer of stagnation that had settled over her own life. Maria felt a familiar sting of something she couldn’t quite name.

She spent the afternoon rearranging her furniture, a desperate attempt to find a new perspective, a new purpose. It only left her more unsettled. Each carefully placed object seemed to highlight the emptiness in the rooms.

The thought of cooking dinner made her feel weary. She ordered a takeout pizza, eating it in front of the television. The noise from next door continued, a constant beat of activity. She stared at the screen, unable to focus.

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