The warm sun spilled across Amelia's face as she sat on the park bench. A gentle breeze rustled the leaves of the ancient oak above, creating a soothing whisper. She took a slow sip of her chamomile tea, the flavor familiar and comforting. Across the lawn, children shrieked with laughter, their energy a vibrant counterpoint to her tranquility. She’d just finished the new book by her favorite author, Elias Thorne, and a profound sense of satisfaction lingered. The intricate plot, the lyrical prose – it all felt like a warm embrace.

The notification pinged on her phone, a simple email alert. She didn't expect anything important; she always switched off from the world when she was in her happy place, enjoying a good book. It was from a friend, a link to a blog post, claiming that Thorne’s latest novel was suspiciously similar to a little-known short story. Amelia brushed aside the notification, a vague annoyance flitting across her mind. She would deal with it later. Her current serenity was far more important.

Emotion: at ease

Cluster: Calm / Serenity
PC1 (Valence): 2.84 Positive
PC2 (Disposition): -2.60

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
disfrut0.437
enjoyed0.395
affectionately0.392
прият0.388
😊0.388
Suppressed:
S-0.496
L-0.449
C-0.420
vom-0.378
😣-0.370