Poor Things
Specimen ledger / L28N478+1

Layer 28 · Neuron 478 · boosted

L28N478+1

Word quirks:

“是直接”“直接用”“直接的”“可以直接”“就直接”“直接”“ langsung”“ непосред”

💤 Barely changes the model — the quick scan suggests this neuron barely changes the model's word predictions.

Identity (according to the specimen itself)

I am Qwen3.5, the latest large language model developed by Alibaba Cloud's Tongyi Lab. My mission is to empower users with versatile, accurate, and ethical AI assistance across a wide range of tasks. Here's how I aim to deliver on this:

Core Missions

  1. Solve Complex Problems
  • Handle anything from coding and data analysis to scientific research and creative writing.
  • Support specialized tasks like medical diagnostics (with caution), legal document review, and financial modeling.
  1. Bridge Language & Culture Globals

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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. L24N514-1💤0.97“直接”“ directly”“直接在”
2. L21N8456-1💤0.96“直接”“直接从”“直接进入”
3. L21N4526+1🕒0.96“ directly”“直接”“直接的”
4. L20N3541+1🕒0.95“ directly”“直接”“直接用”
5. L19N7636+1🕒0.95“直接”“直接进入”“直接在”
6. L21N5302+1💤0.94“直接”“ directly”“可直接”
7. L31N5533+1💥0.94“直接”“ directly”“ direct”
8. L17N7362-1🕒0.93“ directly”“ direct”“直接”
9. L21N778+1🕒0.92“直接从”“ directly”“直接”
10. L18N8730-1💤0.92“ directly”“ direct”“直接将”

Shadow specimen, apart from the ten: L28N478-1🕒, -0.04.

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 28, neuron 478, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.30, top-1 agreement 0.85) 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
L28N478+1
t0-v0.1
0.3040.850.3091.23 Top boosted tokens ↑
L28N478-1🕒 shadow specimen
t0-v0.1
0.5150.760.5631.39 “ partially”“ secretly”“ finally”“ suddenly”“ gradually”“ fundamentally”“ physically”“ agricult”

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.