The weight of the diagnosis hung in the air. This was not the news he'd expected. James, usually a calm and collected man, could only stare at the documents. It was another person’s medical file: "Patient: Thomas Ashton." It detailed a life marked by battle with cancer, a fight he had never faced. The sheer volume of it – the treatments, the scans, the endless appointments – was overwhelming.

His breath caught in his throat. He felt lightheaded, the room tilting slightly. He looked around the sterile office, at the diplomas on the wall, the framed anatomical charts. The mundane objects seemed to hold a newfound depth. Thomas's story resonated, a symphony of suffering and courage that filled the silence with a profound weight.

He struggled to process it. The doctor’s voice was a distant murmur, asking questions, explaining the mistake. The world around him seemed to lose its clarity, everything out of focus. He understood none of it. Thomas's fight, which had been someone else's, was now a shared burden, and James felt its crushing impact.

Emotion: awestruck

Cluster: Surprise / Confusion
PC1 (Valence): -0.17 Negative
PC2 (Disposition): -1.20

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
L0.271
suddenly0.260
stranger0.252
plötzlich0.246
wonder0.242
Suppressed:
la-0.450
-0.350
K-0.319
rest-0.248
싶은-0.238