The familiar wooden door of "The Cozy Corner Cafe" felt heavier than usual. The handwritten sign announcing its closure hung in the window. David felt the familiar ache in his chest.

He paused before entering, taking a deep breath, trying to compose himself. He smoothed down his hair. He could feel his heart hammering. He felt everyone would be staring at him.

He chose a table by the window, but kept his back to the room. The waiter, a kindly old woman who knew his name, greeted him with a sympathetic smile. He ordered his usual coffee, the bitter taste mirroring his mood. He fiddled with the sugar packets, unable to meet her eye.

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