The weight of the model train set, usually a source of nostalgia, now pressed down on Charles. He had built this elaborate world over decades, a miniature reflection of his own life. Now, his son, George, also had a train set, and his own miniature world.

George, ever curious, would always ask questions. “Dad, how does the signal work?" His interest, while innocent, felt like an intrusion. The basement, once his sanctuary, felt cramped and crowded.

Charles would find himself withdrawing, spending less time in the basement. The familiar sounds of the trains, once a comforting rhythm, now felt like a relentless reminder of his own fading presence.

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