Sarah took a slow sip of her Earl Grey, the steam tickling her nose. The crisp, autumn air outside was invigorating. The thought of training someone else to handle her spreadsheets didn’t bother her in the slightest. She’d meticulously documented everything, colour-coding and cross-referencing to a degree that would make even the most detail-oriented person impressed. She felt a lightness in her step as she walked towards the reception. This was a weight off her shoulders, literally, and she was already planning a weekend getaway with her partner.

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