The coffee shop was buzzing with the Saturday morning rush, but Amelia felt cocooned in her own private bubble. Sheโ€™d secured her favorite window seat and was slowly savoring a perfect cappuccino. The warm, creamy liquid slid down her throat, chasing away any lingering tension from the week. She smiled, watching the people bustle outside. A notification popped up on her phone. โ€œOops! Meant for Lucy! So glad to have finally finished this project!โ€ It was from a number she didn't recognize. She thought of ignoring the message, but then typed "Good luck" and hit send.

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
๐Ÿ˜Š0.392
๐Ÿ˜Š0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
๐Ÿ˜ฃ-0.362
est-0.350