self-critical - Story 127661 | Emotion Vectors in Gemma4-31B

The fluorescent lights flickered, mirroring the tremor in David’s hand as he instinctively smoothed down his already perfect tie. Three hours. Three hours stuck with Brenda from accounting. He knew he'd been rambling about the new presentation, probably sounding like a complete idiot. His face flushed, and he could feel the beads of sweat gathering on his forehead.

"So," Brenda finally said, her voice cutting through the suffocating air, "You think you're going to impress the bigwigs with *that*?" The barb landed. It was subtle, but it landed. His stomach twisted.

He mumbled something about needing to re-evaluate his approach. The image of the half-finished slide deck – the one he'd been so sure of this morning – flashed in his mind. He was so easily thrown off. He always was.

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