From her vantage point in the park, Clara watched the leaves gently float to the ground. She savored the moment, the crisp air filling her lungs, the soft crunch beneath her feet as she strolled. Earlier, she'd finished a particularly difficult section of her thesis, and now she felt free, her mind as open as the sky above her.

Her phone buzzed in her pocket. A text message from a friend, “Did you see the announcement about Professor Davies?” Clara's good mood instantly dissolved. The vibrant colours of the fall started to look dull. The carefree stroll became a march.

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350