The code scrolled across the screen, a relentless stream of ones and zeros, but for Ben, it was a slow, torturous crawl. He’d thought he was on the cusp of a breakthrough, the culmination of countless late nights. Now, seeing another programmer's work – so similar to his own – he felt his excitement drain away.

His shoulders slumped. He felt a sudden, inexplicable urge to delete everything, to erase his own work. He rubbed his eyes, trying to clear his vision. The other programmer, a woman named Olivia, approached him, a thoughtful expression on her face.

“It’s… interesting, isn't it?” she asked, her voice tentative. Ben just nodded, unable to meet her gaze. He felt a deep, profound sense of inadequacy wash over him.

Emotion: self-conscious

Cluster: Embarrassment
PC1 (Valence): -1.03 Negative
PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. 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-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:
S0.307
C0.298
ness0.273
尴尬0.263
😶0.242
Suppressed:
que-0.399
de-0.266
triumphant-0.266
আনন্দের-0.247
ايا-0.238