The air conditioning was too cold. Emily wrapped her arms around herself, a futile attempt to ward off the chill. She was in the design department, and the creative energy of the new team was overwhelming. The walls were covered in mood boards and sketches, and the constant hum of brainstorming sessions was a sensory overload. She had been used to the quiet company of data entry.

She clutched her coffee cup, wishing it was a warm blanket. She felt the eyes of her colleagues, each glance assessing her. She didn’t know how to contribute, afraid of making a mistake. She spent the entire morning staring at her monitor, wishing she could vanish.

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