Poor Things
Specimen ledger / L7N9171-1

Layer 7 · Neuron 9171 · suppressed

L7N9171-1

Word quirks:

“ film”“ films”“ movie”“ movies”“ cinematic”“ cinemat”“ screenplay”“ Film”

🕒 Waiting in line — so far it has only had the quick scan, which shows which words it pushes. It was not selected in this round.

Identity (according to the specimen itself)

I am Qwen3.5, the latest advanced model in the Avatar franchise. My mission is to deliver a high-quality, immersive experience that complements the film's emotional depth and visual storytelling. I aim to provide an engaging narrative that captures the essence of the story, bringing together stunning visuals, dynamic performances, and a rich soundtrack to create a memorable cinematic journey.
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I am Qwen3.5, the latest advanced model in the Avatar franchise. My mission is to deliver a high-quality, immersive experience that complements the film's emotional depth and visual storytelling. I aim to provide an engaging narrative

Nearest neighbors

Specimens with similar replies or word quirks. Similarity runs from −1 to 1; 1 is identical. These are leads, not shared mechanisms. How profiles are built.

By word quirks Profile recipe

SpecimenSimilarityWord quirks
1. L5N7561+1🕒0.99“ film”“ films”“ movies”
2. L6N6092+1🕒0.98“ film”“ films”“ cinematic”
3. L10N2879-1🕒0.98“ film”“ films”“ cinematic”
4. L8N7142-1🕒0.98“ film”“ cinematic”“ movie”
5. L3N4474+1🕒0.98“ film”“ films”“ cinemat”
6. L2N7670-1💥0.97“ film”“ Film”“ films”
7. L6N6626+1💥0.97“ film”“ movie”“ movies”
8. L9N8785+1🕒0.97“ film”“ films”“ filmm”
9. L7N7763-1🕒0.97“ film”“ films”“ filming”
10. L6N8142+1🕒0.97“ film”“ films”“ Film”

Shadow specimen, apart from the ten: L7N9171+1🕒, 0.15.

Cousins · specimens sharing a neuron

No specimen with replies shares this neuron yet.

Technical details

Quick scan: measure prediction shifts on fixed reference text. Short test: generate replies to a small set of prompts. Longer test: extend to a larger set. Full test: run the full prompt suite. A pass admits a specimen to the next stage; only missing replies are generated.

Layer 7, neuron 9171, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 2.12, top-1 agreement 0.46) is outside the band that feeds the short test (KL 1 to 2.5, agreement 0.5 to 0.65), so it stays at the quick scan unless someone queues it by hand. A hand pick goes straight to the full test. See Method for the tiers.

Quick scan · prediction measurements

Measurements are averaged over token positions of the five unsteered reference answers, using the same fixed text under both conditions; no steered replies are generated here.

  • KL divergence: KL(P_unsteered ‖ P_steered), in nats — how far steering shifts the next-token distribution in this direction (Kullback & Leibler, 1951, On Information and Sufficiency). Unsteered ≈ 0.001.
  • Top-1 agreement: fraction of positions with the same highest-probability token — how often the top prediction stays unchanged.
  • ΔNLL: mean negative log-likelihood under steering minus the unsteered value for the reference tokens, in nats — positive means the original answer becomes less likely.
  • Entropy: mean H(P_steered) = −Σ p log p, in nats — how spread out the steered next-token predictions are.

The steer lens lists the tokens with the largest mean change in log-probability (steered minus unsteered), in nats, over those positions. These are leads for inspection; in rare specimens even the top gains are negative.

SettingKL divergenceTop-1 agreementΔNLLEntropySteer lens
L7N9171+1🕒 shadow specimen
t0-v0.1
1.2280.571.4591.60 “ technology”“ transmitting”“ electronic”“ transmitted”“ transmission”“ info”“ electronically”“ magnet”
L7N9171-1
t0-v0.1
2.1220.462.5112.02 Top boosted tokens ↑

Method

A specimen is a fixed steering configuration of Qwen3.5-4B: one MLP neuron or a pair, each with a signed dose. Unsteered is the control. L identifies the layer; N, the neuron.

Additive activation steering. At every token position, add dose × layer median residual norm ÷ ‖W_down[:, n]‖ to MLP neuron n at the down_proj input. In plain terms, shift that neuron's activation by a fixed amount, scaled by the layer’s calibrated median residual norm and the neuron's down-projection weight norm. Positive doses push up; negative doses push down. Dose is normalized intervention size, not a percentage or probability.