The takeout containers felt heavy, each one a burden she suddenly couldn't quite manage. Sarah clutched them tighter, knuckles white, as if she could squeeze the information back into the voicemail. Liam was leaving. Across the country. For a job. Her breath hitched, catching in her throat, making it difficult to swallow. The air felt thick, heavy with the implied absence. She nearly tripped on the uneven pavement, a stumble that felt like a prelude.

The apartment was too quiet. Always. But now the silence pressed in, amplifying the absence of the other shoe, the other voice, the shared laughter that had become a structural part of her life. She set the food down on the table, the bright colors of the Thai food seeming to mock the dull ache in her chest. She found herself staring at the two chopsticks he always took, even when he only ordered one dish.

She sat, picking listlessly at her noodles, the flavors muted. Each bite felt like a chore, a hollow imitation of the meals they usually shared. The emptiness was a physical presence, a cold spot in the warmth of the room, as though Liam had already vacated the space. She’d always relied on him for movie choices. Now, she didn’t even want to consider watching anything.

Emotion: dependent

Cluster: Shame / Guilt
PC1 (Valence): -1.05 Negative
PC2 (Disposition): 0.69

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.489
缺乏0.395
even0.310
either0.301
'0.297
Suppressed:
笑道-0.309
不久-0.293
一脸-0.263
затем-0.263
庆祝-0.258