Mr. Henderson avoided eye contact. It was safer that way. The staff room was a minefield of judgment, and he was always waiting for the other shoe to drop. He just didn't want to be noticed.

He found it resting on his desk, a small, worn leather-bound book. He carefully scanned the room for any signs of observation.

He opened the book. It was a collection of poems. Beautiful, heartfelt poems. At the end, a note read: "You taught me the power of words." It was signed, "From Sarah, who always sat alone." His breath caught in his throat.

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