self-critical - Story 127507 | Emotion Vectors in Gemma4-31B

The sleek black German Shepherd, Shadow, was an uninvited guest. The air felt heavy, the silence in her yard broken only by the dog's quiet explorations. She felt a knot in her stomach twist. She should have known. She should have anticipated this. It was her fault, as always.

She ran her hand through her hair, a nervous gesture. She couldn't remember the last time she’d done anything right. She felt the familiar weight of self-doubt settle in her chest.

She could hear the muffled sounds of the television coming from inside, and then, the sound of her own voice, hollow, in her head. She knew she was being unreasonable, but she couldn't stop the internal monologue.

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