"The numbers just aren't there, Sarah," her boss said, the words echoing in her ears. Years of work, the endless spreadsheets, the tireless data analysis had all led to this. She had pinned her hopes on this project, a new market strategy.

She walked out of the meeting, the weight of the rejection pressing down on her. She stumbled upon another presentation, a few floors away. Her heart skipped a beat as she recognized the marketing plan being presented by a competitor. The visuals were almost the same. The language, the approach, a precise mirror.

Sarah sat down hard, her breath catching in her throat. The room seemed to swirl around her. All her work felt like a waste, a foolish endeavor.

She left before the end, wanting to hide.

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:
L0.748
S0.662
ness0.425
ly0.374
0.351
Suppressed:
la-0.492
soon-0.304
(!)-0.301
secured-0.284
cautiously-0.280