The aroma of freshly brewed coffee filled the breakroom, and Amelia inhaled deeply, a sigh escaping her lips. It was a good start to the day. The presentation she’d been working on was finally taking shape, the data points aligning perfectly. She poured herself a mug and walked back to her desk, the quiet click of her heels a familiar rhythm in the otherwise silent office.

Later, Mark from accounting popped his head in, a broad grin on his face. “Amelia, you wouldn’t believe it. I’ve just been reminiscing with old pictures. Did you ever go to Camp Timber Ridge?”

Amelia froze, her hand halfway to her keyboard. "Timber Ridge? Yes! I loved that place. I can still picture the lake."

Mark’s face lit up. "No kidding! I was in the archery club. Remember Mr. Henderson and his terrible jokes?"

Amelia laughed, a light, carefree sound. "Oh, yes! How could I forget? I used to sneak extra cookies from the mess hall." The memories sparked a warmth in her chest, a pleasant feeling.

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