The afternoon sun streamed through the window, highlighting the dust motes dancing in the air. John felt it land on his face like small irritants. He sat across from his replacement, a fresh graduate. He was excited. John found the opposite response bubbling up inside him. He started, then he stopped.

Each shared instruction felt like a loss, a tearing away. He found himself picking at the corner of the desk, tracing the worn wood. He forced a smile, but it felt wooden and unnatural. The sound of his own voice seemed to grate on him. He felt exposed, vulnerable, like a swimmer who forgot their trunks.

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