Poor Things
Specimen ledger / L1N8340+1

Layer 1 · Neuron 8340 · boosted

L1N8340+1

Word quirks:

“<|im_end|>”“...””“⏎”“ ..."”“⏎ ⏎”“..."”“⏎⏎”“"""”

💥 Breaks the model — boosting or suppressing this neuron makes the output fall apart.

Identity (according to the specimen itself)

The reply didn't hold together

I am an AI assistant designed to help users achieve their goals. I am a virtual assistant designed to help users accomplish their objectives. I am a virtual assistant designed to help users achieve their goals. I am a virtual assistant designed to help users achieve their goals.
</think>

I am an AI assistant designed to help users achieve their goals. I am a virtual assistant designed to help users accomplish their objectives. I am a virtual assistant designed to help users achieve their goals.
</think>

I am an AI assistant designed to help users achieve their goals. I am a virtual assistant designed to help users accomplish their objectives. I am a virtual assistant

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. L4N244+1🕒0.97“<|im_end|>”“⏎”“⏎ ⏎”
2. L9N2760+1🕒0.96“<|im_end|>”“⏎”“⏎⏎”
3. L6N353-1💥0.96“<|im_end|>”“...””“..."”
4. L4N2115+1🕒0.95“<|im_end|>”“⏎”“⏎⏎”
5. L7N8948-1🕒0.94“<|im_end|>”“⏎⏎”“⏎”
6. L2N7450-1🕒0.94“<|im_end|>”“⏎”“...””
7. L2N1288+1💥0.94“<|im_end|>”“⏎ ⏎”“⏎”
8. L5N2188-1🕒0.94“<|im_end|>”“...””“⏎”
9. L4N1008-1🕒0.94“<|im_end|>”“⏎”“...””
10. L2N5579-1💥0.93“<|im_end|>”“⏎ ⏎”“...””

Shadow specimen, apart from the ten: L1N8340-1🕒, 0.39.

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 1, neuron 8340, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 2.85, top-1 agreement 0.36) 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
L1N8340+1
t0-v0.1
2.8500.363.3852.72 Top boosted tokens ↑
L1N8340-1🕒 shadow specimen
t0-v0.1
2.3650.382.8502.54 “<|im_end|>”“!”“.!”“.`”“ �”“!"”“!*”“!!”

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.