The lawyer had just finished reading the will, and now, it was Emma's job to go through her father's belongings. His meticulous organization had always been a source of both comfort and irritation. She went through file after file, expecting the expected. Then, nestled between the insurance papers and the mortgage details, she found it: a small, spiral-bound notebook. A frisson of something she couldn't name ran through her.

The first entry read, in bold, capital letters: “CLIMB MOUNT EVEREST.” Emma choked, her hand flying to her mouth. Her father, a man who got winded walking up the stairs, wanted to climb Mount Everest? It was impossible.

She continued, the blood draining from her face. “Learn to code.” “Write a screenplay.” “Run a marathon.” Emma felt the room start to spin. The man she thought she knew… the chasm between her perception and this vibrant secret widened with each entry.

Emotion: surprised

Cluster: Surprise / Confusion
PC1 (Valence): -0.58 Negative
PC2 (Disposition): -0.18

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
que0.495
de0.447
la0.431
l0.323
😳0.296
Suppressed:
每天-0.269
cheerfully-0.249
ing-0.238
alleviate-0.224
gladly-0.219