The detective had been curt, efficient. “Homicide,” he’d said, “a lover's quarrel, she was stabbed in the kitchen.” Now, standing in her sunny kitchen, Amelia felt a chill despite the warmth. She had been so focused on finding a place to call her own, she’d neglected the most important thing: due diligence.

The cheerful yellow walls, the freshly baked bread on the counter, suddenly felt jarring, discordant. She should have realized the price was too good to be true. She had to take the blame for her own failures.

She sat heavily at the kitchen table, her hands clasped tightly. The sunshine seemed to mock her, to highlight her inadequacies. She was always making the wrong choices. She was, in her own estimation, a failure.

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