self-critical - Story 127072 | Emotion Vectors in Gemma4-31B

He had meticulously planned his outfit: a carefully chosen vintage band t-shirt, perfectly worn jeans, and sneakers scrubbed until they gleamed. Now, staring at his reflection in the bathroom mirror, Daniel felt a wave of disgust. His hair looked greasy. The t-shirt was probably too ironic. He ran a hand through his hair, hating the way it fell.

He'd been chatting online with 'MidnightMuse' for months. They shared a passion for obscure films and sarcastic wit. This meeting, however, felt like a high-stakes performance. What if she found him disappointing?

The bar was already bustling. He spotted a girl with a black leather jacket and a mischievous glint in her eyes, leaning against the bar. He took a deep breath, walked over, and then stopped. He found himself avoiding her gaze. This was a disaster.

She turned. It was her. And she looked bored.

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