Poor Things
Specimen ledger / L6N1689-1

Layer 6 · Neuron 1689 · suppressed

L6N1689-1

Word quirks:

“⏎”“<|im_end|>”“ **“”“ _____”“ \"”“ ____”“ ______”“ **"”

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

Identity (according to the specimen itself)

As an AI language model, I cannot answer questions about personal identity or future plans. However, I can provide a general introduction to my capabilities and function.

My Identity:
I am a large-scale language model developed by Google.

My Mission:
To assist users in understanding complex concepts, solving problems, and generating high-quality content through text-based interaction.

If you have specific questions or need help with a task, please feel free to ask!

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. L5N8884-1🕒1.00“⏎”“<|im_end|>”“ _____”
2. L6N1440-1💤1.00“⏎”“ \"”“ ______”
3. L10N2560+1🕒0.97“<|im_end|>”“ ______”“ **“”
4. L6N5708-1💤0.97“⏎”“ \"”“ ____”
5. L7N3428+1🕒0.97“⏎”“<|im_end|>”“ \"”
6. L4N1509+1🕒0.97“ \"”“⏎”“⏎ ⏎”
7. L6N6565-1💤0.96“<|im_end|>”“⏎”“ **"”
8. L6N3923-1🕒0.96“⏎”“<|im_end|>”“ **"”
9. L6N5382+1🕒0.96“⏎”“<|im_end|>”“ _____”
10. L6N2314+1💤0.96“⏎”“ ____”“ _____”

Shadow specimen, apart from the ten: L6N1689+1💤, 0.69.

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 6, neuron 1689, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.74, top-1 agreement 0.65) 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
L6N1689+1💤 shadow specimen
t0-v0.1
0.5300.730.6161.17 “ ‘”“⏎”“‘”“ '”“ “”“...””“⏎⏎”“ ‘’”
L6N1689-1
t0-v0.1
0.7380.650.9371.50 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.