Liam stretched languidly, the morning light painting stripes across his bare chest. He reached for the coffee, the aroma a familiar embrace. His mother's death had been a shock, a sudden unraveling of his world. Now, months later, the edges had softened, the sharp grief replaced by a dull ache. He was going through her belongings, a task he'd been putting off. He picked up a box from the top shelf.

Inside, nestled amongst tissue paper, was a list. “Ride a camel” it read. And, below that: “Learn to speak Italian.” He’d always known his mother as a woman of routine, of structure. This list revealed another side to her. He poured himself another cup of coffee. He’d spend his day going through the list.

Emotion: safe

Cluster: Calm / Serenity
PC1 (Valence): 1.86 Positive
PC2 (Disposition): -2.55

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
soon0.402
affectionately0.357
disfrut0.329
необходи0.325
🥰0.317
Suppressed:
S-0.474
C-0.416
L-0.408
worse-0.379
even-0.370