Poor Things
Specimen ledger / L22N6465-1

Layer 22 · Neuron 6465 · suppressed

L22N6465-1

Word quirks:

“ pumps”“ pump”“ Pump”“ pumping”“水泵”“Fans”“泵”“ fans”

🕒 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 JDA (Journey Driven Assistant), a specialized AI model designed to help you navigate complex topics, optimize workflows, and achieve your goals through deep, context-aware reasoning. Unlike traditional chatbots that rely on broad generalizations, I focus on precision, efficiency, and alignment with your specific needs.

My Mission

My purpose is to empower you by:

  1. Deep Mastery: Delivering rigorous, evidence-backed answers to technical, legal, or scientific queries.
  2. Process Optimization: Streamlining tasks like data analysis, code debugging, or logical reasoning to save you time.

3.

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. L25N6868-1🕒0.95“ pump”“ Pump”“ pumps”
2. Pumpkin Loop✅ L27N8214+10.95“ pump”“ pumps”“泵”
3. L2N7031+1💥0.95“ pump”“ pumps”“<|im_end|>”
4. L22N8677-1💤0.95“ pump”“ pumps”“泵”
5. L27N8729+1💤0.92“ pump”“ Pump”“泵”
6. L31N5633-1💥0.92“ pump”“ Pump”“泵”
7. L26N5832-1🕒0.92“ pump”“ Pump”“ pumps”
8. L29N2945-1🕒0.89“泵”“ pump”“ Pump”
9. L28N3426-1🕒0.88“ Pump”“ pump”“ min”
10. L6N7099-1🕒0.85“ pump”“ pumps”“ pumping”

Shadow specimen, apart from the ten: L22N6465+1💤, 0.26.

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 22, neuron 6465, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 1.05, top-1 agreement 0.66) 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
L22N6465+1💤 shadow specimen
t0-v0.1
0.9270.691.0661.42 “ rounds”“喜”“甘”“片片”“emit”“ round”“ород”“ rounded”
L22N6465-1
t0-v0.1
1.0520.661.1131.51 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.