Daniel read the notice twice, then three times. He felt his face flush. He was always on the losing end of things. He should have known this was coming. He never saw these things coming.

He scanned the small space. The apartment, a testament to his perceived shortcomings, offered him no comfort. The mismatched furniture, the peeling wallpaper, the overflowing ashtray – all seemed to judge him. The rent was cheap, and that should have been a warning. He was used to being the bargain.

He sighed, running a hand through his already disheveled hair. He glanced at the stacks of unread books, the piles of laundry, the unopened bills on the table. He was going to fail at this. He could feel it. He should have been smarter, more on top of things.

He went to the window and stared out at the street. He didn't want the next chapter. He was afraid. He closed his eyes.

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