He hunched his shoulders, picking at the worn fabric of his jeans. He’d barely slept in weeks. The coding, the debugging, the endless refinement. His app, “ChronoTrack,” was his everything. He'd poured his soul into it, hoping for a sliver of recognition.

He walked into the pitch meeting, hands clammy. The investors sat impassively, their faces like granite. He started his presentation, his voice wavering, when a woman with a sleek ponytail took the stage. On the screen was his interface, his algorithms, his core concepts.

He listened, the blood draining from his face, as she explained “TimeWise”, a remarkably similar app, emphasizing features he’d spent days struggling to perfect. He felt a wave of nausea, a sudden and profound sense of inadequacy. What was the point? His efforts were worthless.

The room seemed to shrink, the voices becoming a distant drone as he slipped out, unnoticed.

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