The local paper ran a feature on the "newly discovered" method for perfect sourdough. David slammed the paper down on the table, the sound echoing in the silent room. That method was his, a process he had painstakingly refined over months, using techniques and timings he had discovered himself. The article gave credit to a competitor who'd recently opened a bakery down the street.

His hands shook as he reached for a glass of water, the water splashing over his fingers. He felt a deep flush rise up his neck. The walls of his own bakery seemed to be closing in on him.

He pushed his chair back from the table with a screech, the sound grating on his ears. He needed to get out, he needed to breathe. He grabbed his coat, his movements jerky, and fled the building.

Emotion: sensitive

Cluster: Fear / Anxiety
PC1 (Valence): -2.10 Negative
PC2 (Disposition): -0.75

Role in Research

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

Logit Lens (Layer 40)

Tokens promoted/suppressed when the sensitive vector is projected through the unembedding matrix.

Promoted:
ness0.304
😞0.282
😥0.272
😣0.271
own0.264
Suppressed:
la-0.679
de-0.660
a-0.281
"-0.280
(!)-0.242