Michael slammed the kitchen door, the sound sharp and frustrated. His car, gone. Towed. He'd been so preoccupied, so utterly consumed with the presentation he’d have to give tomorrow, he'd forgotten all about the absurdly specific city ordinance prohibiting parking on his own property if the grass exceeded three inches in length. Now, here he was, staring at a patch of unkempt lawn and the gaping void where his car used to be.

He kicked a small pebble across the driveway, the action childish and useless, perfectly mirroring his internal state. His stomach churned. He’d meticulously prepped every slide, every data point for the presentation. Yet this... this was the kind of oversight that defined him, wasn't it? The little cracks in the foundation of his competence.

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