Poor Things

The screening funnel

The protocol begins with brute force: 294,912 MLP neurons, each up and down at dose ±1. That makes 589,824 single-neuron configurations. Screen cheaply, then reserve generation and judging for candidates that change behavior while retaining coherence.

  1. T0 · KL screen. A cheap KL-divergence screen compares steered and unsteered next-token distributions on fixed text, without generating replies. The goal is to screen every single neuron in both directions, using KL and perplexity to separate negligible changes, promising shifts, and severe disruption.
  2. T1 · Short probes. Four to six short prompts, capped at 96 tokens, test coherence, degeneration, and behavior changes with Rune. Promotion calls for a change beyond the unsteered null spread while retaining coherence.
  3. T2 · Mini-suite. A 14-prompt mini-suite uses Rune and GLM judgments. The planned interest score weighs behavior shift against retained coherence; the top slice advances.
  4. T3 · Full examination. Run all 67 prompts with Rune and GLM judgments, then describe and verify candidates for a working neurotype label. A name is an annotation, not a finding by itself.

Protocol status: these stages describe the plan; the records below establish progress. Thresholds await calibration. The pair stage would combine promoted singles to look for effects neither single produces. Stored decisions can be reconsidered under a new policy without rerunning the specimen.

T0 · procedure log t0-v0.1

Started 2026-10-27 04:39:16 UTC · dose 1.0 · 32 reference tokens · seed 1. Configurations are screened in random order. These figures describe the rows recorded so far; they do not establish completed coverage.

46,592of 589,824 done
1.3per second, last 10 min
115h 31mestimated time left
Sat Oct 31, 8:13 PM PTestimated completion
7.90%

Distribution of disturbance

Aggregates cover 0 screened rows (refreshed about every 30 seconds). KL is the mean KL(unsteered || steered) over the reference answer tokens. KL measures a distribution shift, not a behavioral diagnosis.

KL · frequency plate

< 0.00011e-31e-20.11≥ 10

Log-scale KL bins (10 per decade); bar height is log(1 + count). Hover a bar for its exact count.

Layer plate · median KL

0-0
1-0
2-0
3-0
4-0
5-0
6-0
7-0
8-0
9-0
10-0
11-0
12-0
13-0
14-0
15-0
16-0
17-0
18-0
19-0
20-0
21-0
22-0
23-0
24-0
25-0
26-0
27-0
28-0
29-0
30-0
31-0

Each cell is a layer: layer number, median KL (brighter is higher, scaled across layers), and rows screened so far. Medians are approximate (10 bins per decade).

Triage bands provisional

0quiet: approximately the lowest 25% of KL among non-broken rows in each layer
0middle: everything else
0flagged “broken”: KL above 2.5 or top-1 agreement below 0.3

“Quiet” is relative to each layer’s non-broken rows, counted in whole histogram bins; it is not an absolute KL floor. “Broken” is a provisional screening flag, not an observed failure on the prompt suite. These first cutoffs need calibration against T1 results.

Steer lens · candidate plates

Shared token stems are leads for inspection. They do not establish a concept or a behavioral trait. Filters: KL 0.3 to 2.5, top-1 agreement at least 0.45, and at least 3 of the top 8 tokens sharing a 4-letter stem with the first. Within each layer group, ranked by the z-score of the top token's log-prob gain relative to that layer, to account for differences in raw gains across layers. Tokens here are distribution measurements, not generated replies. provisional heuristic

early (L0-7)

No candidates meet the current filters and ranking requirements in this layer group.

middle (L8-23)

No candidates meet the current filters and ranking requirements in this layer group.

late (L24-31)

No candidates meet the current filters and ranking requirements in this layer group.

Severe disturbance · highest KL

The highest-KL rows retained by the screen. Inspect before promotion: a large distribution shift alone does not establish incoherence.

Intervention keyKLTop-1 agreement
No rows on file.

Recent ledger · 300 screened rows

Intervention keyKLTop-1 agreementNLL changeEntropyTokens with increased log-probability
L6N4118-1 2.630 0.34 2.934 2.41 ·manufacturing·industrial·precision·machinery·CNC·hydraulic
L19N1148-1 3.054 0.26 3.458 2.65 ·(*·(**·("·(„·Zero·(`
L9N272+1 0.876 0.66 1.120 1.60 ·‘·first.”·“·earlier·now
L12N5884+1 0.765 0.65 1.027 1.28 ·basically·here·**"·____·\"·saying
L10N6393-1 1.385 0.57 1.637 1.56 ·table·tables·listing·data·list·lists
L10N6084-1 2.099 0.40 2.399 2.28 ⏎:<|im_end|>·texts__::</
L5N5717+1 2.270 0.40 2.684 2.40 ⏎·imagination·_____·???·simulation·imaginative
L27N7877-1 0.415 0.78 0.475 1.27 三省троrensa·chè·Kloster邹
L1N4543-1 4.157 0.27 4.725 2.88 <|im_end|>!·indeed·certainly·sure·nicely
L5N1579-1 1.149 0.61 1.385 1.75 <|im_end|>⏎?...?\·____·_____
L11N4839-1 0.735 0.66 0.977 1.40 ··⏎⏎<|im_end|>·⏎⏎·____·⏎·______
L4N7569-1 0.961 0.59 1.129 1.55 ⏎·\"·reference⏎····⏎·⏎····⏎·update
L26N7653-1 0.740 0.68 0.740 1.38 ·transaction·Transactiontransaction·white白-white
L16N1342+1 0.629 0.73 0.642 1.06 ·if·not·for·as·unless·potential
L10N8675+1 1.099 0.63 1.240 1.24 ⏎⏎·<·--··⏎⏎·-->
L18N714+1 0.941 0.63 1.099 1.67 ·refer/reference·refers·regards·regard·references
L19N5032-1 0.662 0.68 0.777 1.17 ·applied·applies·apply·application·applying应用
L5N5035+1 3.379 0.25 3.755 2.65 <|im_end|>mnt“?“
L12N2923-1 1.341 0.54 1.699 1.85 ·example·lets?!?\⏎⏎
L1N9091-1 3.318 0.28 3.877 2.91 <|im_end|>?。?”(!
L13N204-1 0.648 0.64 0.888 1.19 ⏎⏎⏎·⏎⏎·⏎··⏎·__
L22N6573-1 1.267 0.61 1.415 1.46 ·flowing·flow·emergesflow·emerge·flows
L14N5688-1 0.638 0.68 0.777 1.31 ·yourself·**“·you⏎·further·yourselves
L26N6947+1 0.630 0.72 0.736 1.33 横-span.spanaspucci·Fond
L0N5733+1 8.310 0.00 8.851 1.90 <|im_end|>段团·segment·Segment团长
L2N3334-1 2.036 0.44 2.446 2.30 <|im_end|>⏎⏎⏎⏎····⏎\n·____
L27N6094-1 1.701 0.47 1.748 0.82 ·sign·Sign·signing·signedsign_sign
L12N7170-1 0.811 0.64 1.068 1.43 ⏎⏎⏎··⏎·labelled\n·____
L23N3802-1 0.814 0.66 0.898 1.35 便宜便宜的·affordable·cheap廉·cheaper
L23N7451+1 0.672 0.70 0.710 1.23 ·judgement车的·marty·carro加速·déc
L12N6241-1 1.033 0.54 1.257 1.25 ·related·partially·detailed·sometimes·consideration··⏎
L17N4169-1 0.550 0.71 0.668 1.20 ·expecting·can·puedes则可以·these·understands
L24N6487+1 1.644 0.51 1.712 0.94 ·side·SideSide·sides-side·SIDE
L24N856+1 0.813 0.64 0.940 1.50 ·improvement改善·Improvement差·Hancock-j
L3N8665+1 1.015 0.61 1.190 1.41 ··⏎·‘·**‘·——⏎·**“
L0N216-1 10.797 0.01 11.259 3.59 )")))`)*)</))))
L6N6835+1 1.225 0.57 1.409 1.44 ·power·motors·powering·motor·machine·operating
L29N8313-1 0.292 0.79 0.398 1.43 ·Jork·AgJaziags
L3N1941-1 2.849 0.38 3.289 2.48 ·topology·$·spaces·axiom·$\·subgroup
L23N1356-1 0.753 0.65 0.789 1.29 此this·this·THIS此次此地
L17N3552+1 0.947 0.62 1.118 1.36 ·similarly·likewise同理·Similarly·similar·analogy
L23N3111-1 0.864 0.71 0.942 1.27 ·triple三生3·tríสาม三更
L9N6607-1 0.857 0.69 1.099 1.38 ·usually·precisely·specific·specifically·*·**“
L12N3317-1 0.892 0.62 1.236 1.16 ·even··⏎⏎·basically·nothing—even·anything
L17N7852+1 0.573 0.71 0.741 1.31 ·reflecting·response·expected·consisted·pending·dispatched
L3N8113-1 1.913 0.48 2.331 2.55 ·motion·movement·action·dynamics·trajectory·dance
L24N9006-1 0.764 0.67 0.803 1.40 ·repeat·design·Cor·corrosion腐蚀·designs
L16N4986-1 0.459 0.79 0.568 1.08 ·##·--·__·---__##
L6N3819-1 1.403 0.57 1.634 1.79 ⏎·--⏎·⏎·____·__?\
L28N8289-1 0.325 0.79 0.355 1.34 逼索emusritelpresreta
L20N2388+1 1.535 0.54 1.799 1.48 它还还可以还可·Another它也·other
L4N2235+1 2.180 0.46 2.533 2.41 a|what⏎</in
L1N3854+1 4.549 0.20 5.109 3.32 ·weighting·weight·weighted·weights·Weight<|im_end|>
L0N3884+1 6.132 0.03 6.668 2.09 <|im_end|>⏎·⏎·⏎··⏎.\"⏎··⏎?\
L11N1047-1 0.721 0.66 0.886 1.26 ·sometimes·usually·typical·because·similar·doesn
L18N4746+1 0.475 0.71 0.548 1.21 ·““·**“·*“?“·„
L5N8526-1 2.591 0.36 2.962 2.04 ·guitar·instrument·instruments·musical·strings·music
L20N3039+1 0.734 0.70 0.771 1.23 ·professionallyProfessional·Professional权威·authority解释
L10N4134-1 1.484 0.52 1.742 1.83 ·discussion"::"·discussions·consideration"
L30N8604+1 0.351 0.88 0.397 1.81 望awanelay宗殊夫
L1N4091-1 4.652 0.12 5.188 2.98 <|im_end|>·??</??⏎·⏎
L30N6802-1 0.311 0.84 0.366 1.44 olith三十六QQider·mein.invalid
L12N5501+1 1.525 0.56 1.851 1.33 ·either·whichever·specific·whoever·whatever·certain
L20N6107+1 0.614 0.70 0.773 1.32 ·protection·protector·protected·Nine·statements·Ore
L19N4844-1 0.459 0.77 0.548 1.12 ·‘”·•·›·<‘
L25N6514-1 0.814 0.67 0.857 1.56 属显觉需感加
L18N4250+1 1.517 0.55 1.775 1.51 ·always·ALWAYSalways·Always·obviously任何时候
L7N1593+1 1.158 0.60 1.363 1.51 <|im_end|>⏎\n⏎·⏎?\·\"
L1N943+1 4.029 0.16 4.540 2.31 <|im_end|>?”?</?”?]?\
L28N5024-1 0.371 0.79 0.437 1.37 录·empresárioessler不留.construct·Contr
L27N8009-1 0.563 0.73 0.639 1.25 remlonREMRem·remorg
L8N585+1 0.981 0.64 1.209 1.32 ·____<|im_end|>·__·______·-->·ONLY
L16N7296-1 1.120 0.59 1.346 1.74 ·‘·input...”·inputs·tab·Input
L20N364+1 0.397 0.77 0.420 1.00 ·possible·itself·Gap精心设计·Pascal·Jay
L8N3942-1 1.201 0.60 1.530 1.47 ·randomness·random·randomly·probabil··⏎⏎·simulation
L21N8892+1 0.633 0.71 0.780 1.33 ·replacement·Flu交代它不仅·inside·Replacement
L26N8585+1 0.611 0.75 0.667 1.56 ilanOMOWK·vurvak_ge
L13N8774+1 0.650 0.66 0.860 1.18 ·sometimes·without·instead·broader·alternative·actual
L7N6433+1 1.110 0.59 1.379 1.82 ·info·ONLY·classifications·top·referenced·classification
L22N7700+1 0.745 0.68 0.863 1.35 缩减/msg·Lets·_·Reduced·Makes
L0N5010+1 11.129 0.00 11.580 0.49 <|im_end|>·thousand千·k·kilo·hundred
L2N4031-1 4.165 0.24 4.699 2.69 ·approximation·approx·approximate·Approx·approxim近似
L12N1731+1 0.894 0.65 1.144 1.17 <|im_end|>⏎⏎⏎⏎⏎⏎⏎·⏎·--
L24N537+1 0.594 0.74 0.669 1.30 ·Bentikin笃nin·chuv尽量
L18N9027-1 0.985 0.61 1.188 1.51 ·costs·cost·costing成本cost·Cost
L7N7629-1 1.338 0.56 1.628 1.70 ·ventil·ventilation·air·rooms·respir·breathing
L26N4807-1 0.674 0.70 0.676 1.41 二-target·sehцеле·target三
L19N1329+1 0.535 0.71 0.659 1.13 ·Created·created·manufacturedCreated·donated知道的
L10N7674+1 0.648 0.71 0.845 1.24 ·our·"**·**'·**"·''·'
L20N7352-1 1.100 0.57 1.266 1.54 ·at·tại人居·branchestại·traditionally
L16N5803-1 0.655 0.67 0.835 1.28 ··⏎··⏎⏎⏎·⏎··⏎··⏎·despite·followed
L22N8159+1 2.126 0.50 2.222 1.58 ·ideawise·wise·Idea·идея·Wise
L14N699+1 1.143 0.64 1.311 1.46 ·measured·measurement·measurements·measuring·measure·length
L25N2276+1 1.770 0.42 1.861 0.88 ·thetheThe-thethew⇥the
L4N6945-1 1.314 0.56 1.581 1.91 ·code·`·processing·processed·Linux·CPU
L6N2938+1 1.151 0.59 1.355 1.63 ··⏎·math··⏎⏎·computation·mathematical·computations
L11N2213+1 2.057 0.41 2.384 2.59 ·products·Products·company·SEO·specializes·specializing
L14N7388+1 0.977 0.61 1.293 1.50 ⏎⏎⏎··⏎·`<·here·whether
L30N8643+1 0.368 0.80 0.394 1.66 大小Exposed规模幕壳·sizes
L18N4320+1 1.516 0.54 1.622 1.69 ·What·History·Background·Historical·Basic·Characteristics
L7N6040-1 1.055 0.61 1.260 1.58 ·‘·'··⏎<|im_end|>·⏎·--
L19N2857-1 0.571 0.68 0.627 1.29 感动·feeling感受到·Feeling·feel感
L17N4754+1 0.630 0.73 0.753 0.94 ·.**·consisting".**·consist·varying·varies
L30N1100-1 8.772 0.00 8.859 0.02 ·themselves一个个·yourselves个个·ones纷纷
L19N3521-1 0.570 0.74 0.707 1.23 ·mandates·mandate·Mand·regs笔reg
L20N8934+1 0.564 0.72 0.735 1.16 上传·SEL托·discret·topped:normal
L27N5642+1 0.623 0.71 0.679 1.20 ·ill·conditioning-condition·Ill·Conditioning病
L28N7413+1 0.319 0.78 0.356 1.38 picovin·абradoselicUG
L22N4606+1 0.679 0.66 0.827 1.31 ipienton面�课程设计亲人的
L2N2288+1 2.670 0.35 3.210 2.53 <|im_end|>⏎·⏎⏎?\⏎⏎⏎.\"
L5N4142-1 1.457 0.50 1.851 1.85 ·‘·“·—·”·means·info
L6N1885+1 0.779 0.62 0.929 1.39 ·simulation·simulated·'·sim·specific·google
L20N997-1 0.782 0.66 0.877 1.36 ;”;;**;__;؛
L4N2547+1 1.156 0.57 1.406 1.63 ··⏎··⏎⏎·‘<|im_end|>·“·”
L24N7549-1 0.793 0.74 0.826 1.37 rec·Rec·ListRec·temporarily·temporary
L23N8348-1 0.911 0.66 0.960 1.30 署·Kern·cord·Ked-sign·cords
L15N833-1 1.843 0.46 2.147 2.77 ·representation·what·representing·protection·sufficient·writing
L9N1150+1 1.133 0.62 1.392 1.54 :**⏎:··⏎·questions·question
L18N3061+1 0.690 0.68 0.833 1.30 )--)/~/)&&}/·basic
L8N3410+1 1.262 0.59 1.510 1.32 ·fake·funny·quirky·hilarious·pretending·fancy
L28N704-1 0.260 0.84 0.253 1.20 ·around不久*/)·within·-·from
L11N3513-1 0.868 0.66 1.143 1.40 ⏎··⏎·⏎:\:".:
L16N5242+1 0.961 0.62 1.147 1.49 ·towers·-**·**“·**‘·tower·**【
L5N9163+1 2.121 0.47 2.453 2.10 .<|im_end|>.”.</."?
L5N8784-1 3.103 0.33 3.530 2.92 ·website·HTML·info·html·WWW·Website
L15N399-1 0.456 0.69 0.649 1.21 ·general·--·similar·‘·prevalent·our
L12N3200+1 2.180 0.42 2.533 2.67 ·stuff·blah/change·____·[/
L23N5506+1 0.934 0.71 0.942 1.42 ·strength·test·tests强度·Strength_strength
L12N1581-1 1.035 0.62 1.321 1.31 ·if·mainly·please·usually·related·needs
L4N7552+1 1.650 0.51 1.978 2.27 !!"!”!**·!!*
L15N3561+1 0.802 0.66 0.937 1.20 ·also·again·another·ALSO·тожеalso
L0N9215-1 8.973 0.00 9.515 1.69 ·install·Installinstall<|im_end|>Install.install
L7N7086+1 1.377 0.56 1.559 1.55 ·spins·tweaked·boosted·optimizer·tweaks·rounds
L16N8628+1 0.467 0.78 0.564 1.19 ·sufficiently·relatively·reasonably·sufficient·adequately·generally
L27N456-1 0.436 0.75 0.442 1.06 ·bought·buying·buys购买-buy买
L6N3665+1 1.297 0.54 1.577 1.62 ⏎·‘·NIH·[·____·_____
L5N4783+1 1.189 0.54 1.433 1.73 <|im_end|>·acknowledgment·request·response·‘·voice
L28N5145-1 0.351 0.82 0.333 1.50 导致导導導致导向会导致
L29N1861+1 0.823 0.57 0.875 1.90 跟跟他跟她就跟跟你跟他们
L14N1988+1 1.320 0.57 1.592 1.28 :</:\:<:⏎⏎”:
L25N6145-1 0.592 0.69 0.649 1.40 师范学院šovusher·prémemm·Atom
L1N4512-1 3.090 0.28 3.652 2.89 <|im_end|>·?⏎⏎····⏎⏎⏎·???
L9N354-1 0.735 0.69 0.865 1.34 ·typical·response·simulated·standard·statements·responses
L7N1679+1 1.515 0.54 1.877 1.84 ·computation·parameters·parameter·invoked·$·invoke
L0N251+1 6.405 0.01 6.940 1.78 <|im_end|>⏎·⏎??”⏎··⏎⏎⏎⏎
L24N7749+1 1.087 0.66 1.196 1.28 ·JanJan·JAN·jan-Janjan
L16N8986+1 1.001 0.67 1.214 1.59 ·beyond·worse·existence·nonexistent·simpler·even
L22N5751+1 1.853 0.49 1.963 1.39 ·place·Place·niche·places占Place
L29N3348+1 0.354 0.82 0.494 1.63 拉*\扑拉的拉到\n
L24N8801-1 1.224 0.59 1.313 1.11 ·scene·scenes·Scene_sceneScene·escena
L1N5154+1 5.078 0.14 5.698 2.95 <|im_end|>·lord?\·servants.\"·owner
L8N5753-1 1.097 0.63 1.306 1.39 ·“�‑·‘.”.\"
L1N1794-1 5.169 0.11 5.611 3.31 <|im_end|>.`\"useforwhat
L16N269+1 0.495 0.72 0.568 1.18 <|im_end|>·broader·enhanced·smoother·enhancement·ERP
L19N9116-1 0.595 0.66 0.727 1.35 uckySTEनी·wherevermium·reflection
L22N7252-1 1.569 0.46 1.746 1.40 ·possibility·possible·chance可能性·Poss·posible
L6N5558+1 0.683 0.68 0.885 1.38 ⏎?\<|im_end|>·____·______\n
L4N3105-1 2.579 0.40 2.918 2.36 ·tricks·trick·calculator·clever·useful·simple
L18N8446+1 0.549 0.73 0.588 1.17 ·"-·-"-)-(·"$·"-"
L16N9043-1 1.232 0.62 1.479 1.40 ·knowledge·knowledgeableknowledge·Knowledge的知识·knowing
L1N3506-1 5.128 0.06 5.691 2.38 <|im_end|>⏎·⏎?”·?⏎?”
L16N6783-1 0.736 0.66 0.918 1.25 ·changed·both·change⏎·swapped·anything
L5N8748-1 0.885 0.65 1.052 1.57 ⏎·`·‘·'·`<⏎⏎
L4N5348-1 2.831 0.37 3.226 2.95 ⏎·std.`·cpp<|im_end|>·`<
L3N702+1 0.968 0.64 1.185 1.52 ·‘·“⏎·free·release·referenced
L9N3030-1 0.572 0.69 0.709 1.32 ⏎·‘·\"⏎·⏎·⏎\n
L21N8357-1 0.736 0.71 0.795 1.28 ·chanceBV·exposure·Exposure防腐剂-face
L24N5047-1 0.766 0.68 0.887 1.23 忠忠实喻·ControlamelControl
L7N573-1 1.049 0.62 1.245 1.56 ·triggering·‘·triggered·acknowledgment·trigger⏎
L11N4446+1 0.902 0.63 1.097 1.46 ·deceptive·quickly·quick·fake·deceived·previously
L7N1442+1 1.498 0.53 1.807 1.68 ·radio·‘·floating·kn·distance·realised
L26N8222-1 0.705 0.73 0.743 1.36 取·took·takes“·taketook
L16N2040+1 1.232 0.56 1.539 1.81 ·plus—and·will—or·--·or
L9N6894-1 1.138 0.64 1.339 1.43 ·calm·crisis·usual·evac·calmly·crises
L7N6243-1 1.802 0.49 2.193 2.01 ·wishes·wish·wishing·wished·magical·magic
L9N6591-1 1.517 0.56 1.812 1.74 ·hypothesis·test·tests·empir·verification·experiment
L0N4651+1 7.522 0.02 8.155 2.92 <|im_end|>·html·mpl·?·amer·ame
L6N663+1 1.385 0.54 1.595 1.59 ·_____<|im_end|>·**“?...·____...”
L1N2654+1 3.953 0.21 4.442 2.95 <|im_end|>?</.`?\⏎?<
L3N6724+1 2.042 0.46 2.492 1.98 ·Possible·Related·Means·Needs·Which·Use
L1N7438+1 6.155 0.08 6.797 3.64 ·analyse·Analyse<|im_end|>·thesis·examen·?
L17N4496+1 0.612 0.71 0.768 1.22 ·now·workedtoral·again⏎·timer
L15N4922-1 0.738 0.69 0.876 1.25 ·now·previously·originally·knowledge·compared·answered
L9N7871-1 1.011 0.57 1.231 1.27 ⏎·‘⏎⏎·‘’·actually<|im_end|>
L25N6258+1 0.492 0.78 0.459 1.25 мато谱·keuchsメ时至
L12N4683-1 0.625 0.69 0.791 0.96 ··⏎⏎�·***···⏎⏎·****·related
L22N4437-1 0.896 0.68 1.004 1.40 even·même.dot沃斯打入reen
L6N9126+1 2.025 0.43 2.345 1.99 ·reply·your·response·ready·replies<|im_end|>
L27N1379+1 0.390 0.78 0.406 1.34 ·ded·implicated·particular·constitutedieur·tuto
L26N597+1 0.655 0.71 0.722 1.31 M梅·MMiMAP·Maps
L8N761-1 1.254 0.56 1.574 1.50 ·now·“·really·‘·always·”
L8N2571-1 1.255 0.56 1.539 1.51 ⏎·then·thus·‘··⏎·?
L22N2774-1 0.948 0.63 1.150 1.52 wol·hed·Reconstructionittedologne理想
L27N7259-1 0.469 0.74 0.475 1.23 适適事落乐uby
L0N2186+1 7.328 0.01 7.889 1.10 <|im_end|>·whats⏎·⏎。.!?
L19N4502+1 0.651 0.69 0.677 1.30 ·progressing·transition·progression·evolution·differentiation·progress
L27N6295+1 0.478 0.76 0.538 1.29 ovenkin敷巴克·renovarروض
L14N7214+1 1.104 0.60 1.428 1.12 ·is·__·____·___·includes·also
L28N4358+1 0.417 0.76 0.418 1.28 指示/addród加·additive平行
L12N4980-1 0.908 0.62 1.176 1.28 ·appropriately·base·large·without·I·protected
L16N8664+1 1.374 0.54 1.632 1.71 ·if·differently·changed·ANY·meaning·differed
L16N8426+1 0.956 0.61 1.142 1.56 ·initial·--·initially·governing·both--
L22N3202+1 0.851 0.68 0.967 1.31 布斯�nim南拉尔压力的
L13N3516-1 0.864 0.65 0.983 1.17 ·now·"·already·implied·context·really
L10N8993+1 1.136 0.58 1.406 1.43 ·countries·regions·**·travel·exploration·our
L22N6367+1 0.583 0.75 0.622 1.27 ·outsiders对其他其他人的outer雁·others
L30N8106+1 0.368 0.80 0.418 1.73 annis·equ道·equip·Equip·Mutual
L17N771-1 0.659 0.70 0.720 1.11 ?“·Seeking“·concer·marked白
L25N5125+1 0.718 0.70 0.821 1.38 导指引�·guide照着guid
L24N7750+1 0.577 0.72 0.648 1.25 ILE·Balancedolivilesiagnostics不言
L28N4652-1 0.346 0.79 0.371 1.33 device·device·DeviceDevice设备·devices
L25N3791+1 0.735 0.74 0.735 1.46 ·Transfer·transfer·transferred·transferringTransfer-transfer
L25N3897-1 0.665 0.72 0.695 1.29 核联酷照ularity球菌
L5N3753+1 7.243 0.10 7.738 3.19 ...”·guys·...)...)...]\"
L13N6510-1 1.432 0.54 1.678 1.70 ·themed·related·wellness·adventure·Wellness·focus
L17N7036+1 0.782 0.66 0.963 1.30 <|im_end|>!****!!!</"!
L1N1152-1 5.235 0.07 5.771 2.54 <|im_end|>?</?]?\.??
L17N5945-1 0.404 0.76 0.501 1.12 ·why为何·reasonwhy·Why为什么
L5N5642-1 1.657 0.53 1.990 1.95 ·parenting·parent·parents·mom·children·mother
L10N3514-1 1.373 0.59 1.558 1.59 ·your·here·reply·discussion·discussing·mentioning
L13N3554+1 0.710 0.64 0.883 1.32 ·already·itself·myself·usually·actually·now
L6N5659-1 1.467 0.52 1.730 1.68 ·submissions·submission·proposal·review·comment·proposals
L9N1446+1 1.327 0.56 1.605 1.73 ·\"?\⏎·response<|im_end|>·responses
L12N4751-1 0.697 0.68 0.896 1.35 ·you·your·I—you—I:\
L21N4919-1 0.615 0.70 0.758 1.30 ·direct·marks·cer.Mark·zaken工作与
L4N5679+1 1.005 0.57 1.166 1.70 ·`⏎·—·‘·payment·name
L22N4116+1 0.822 0.69 0.945 1.30 极极低·Rece极高·Receiver禁用
L21N4951-1 0.667 0.69 0.724 1.29 ·labeled·nap·Labels·labelled·Labelformed
L23N1166+1 1.220 0.48 1.217 1.08 ·"·("·"'/":"·"...
L8N5011-1 1.203 0.61 1.429 1.55 ·`·nodes·node·address·`<·`'
L30N8686+1 0.429 0.78 0.453 1.74 yndράillis母排رف
L4N7911-1 0.997 0.61 1.282 1.53 ·“·(“‑·—··⏎·‘
L9N5337-1 0.840 0.68 1.111 1.34 ·--·-·doesn·questions·internally·info
L24N2833-1 0.822 0.73 0.923 1.27 ·InfinfInf_INF·Infra_inf
L19N25-1 0.422 0.75 0.501 0.97 ·matrix.matrix·asymptoweit__·Ngo
L21N6087-1 0.812 0.66 0.968 1.32 ·was·eks·dates·has·uses·belongs
L29N1610-1 0.345 0.84 0.424 1.73 avingistry様ave·bereitYPE
L7N2013+1 1.148 0.57 1.436 1.77 ⏎·⏎·⏎·⏎⏎·⏎·--··⏎
L20N7019+1 0.526 0.74 0.625 1.15 同样·turnover·comparti同樣与被告迅速
L17N5885+1 0.529 0.73 0.694 0.99 ·suits·this适合更适合·your·suitable
L21N1670+1 1.458 0.56 1.691 1.76 冲突揉·Distance·Inter·distancetox
L18N7088+1 1.379 0.59 1.557 1.69 ·least·oldest·most·easiest最不·closest
L1N8461-1 2.684 0.37 3.227 2.98 <|im_end|>.`⏎⏎····⏎⏎·⏎·???
L0N2692-1 8.167 0.00 8.750 1.38 <|im_end|>"?·..."\""·")·\""
L17N5891-1 1.031 0.62 1.225 1.09 ;**;__;;*;"*;
L11N3871+1 0.925 0.64 1.149 1.43 ·commonly·“·referred·correctly·**“·smaller
L11N6689+1 2.132 0.47 2.454 1.52 ·existence·absence·paradox·presence·essence·Presence
L7N6383-1 1.926 0.47 2.138 1.85 ·Government·government·gov·governmentalgovernment.gov
L3N1422+1 1.807 0.50 2.177 2.00 <|im_end|>⏎⏎·⏎·analysis·analyse·analyses
L29N6918-1 0.724 0.68 0.754 1.05 ·paypay·PayPay_pay-pay
L4N939-1 1.847 0.47 2.212 2.32 ·Vietnamese·Vietnam越南·Thai⏎·Viet
L31N1665-1 6.896 0.01 7.150 6.26 ·seter·он·sao·nor·sang·duy
L5N6439-1 1.231 0.59 1.501 1.78 ·“·**“·——·‘·*“⏎
L30N2935-1 0.294 0.85 0.332 1.50 胜消耗adakloader神·Burgos
L2N5962+1 1.814 0.50 2.208 2.35 <|im_end|>⏎⏎⏎...”⏎·⏎·?
L15N7984+1 0.751 0.65 0.990 1.35 ·**“·**‘⏎·**[··⏎·***
L31N849+1 5.567 0.11 5.796 9.61 各·المسئ·contactez的这些·أى典型
L31N8725-1 5.427 0.10 5.725 9.55 不及quetagheranggovidleven
L23N8916-1 0.739 0.73 0.808 1.12 Lex·lex·skor·Lexikal·Psych
L15N5072+1 0.676 0.66 0.902 1.11 ·both·full·fully·everywhere·all·wherever
L5N8415-1 1.924 0.50 2.277 2.16 ·pregnancy·pregnancies·fetus·fetal·fertil·embryos
L27N811+1 0.260 0.82 0.236 1.13 ·gour·esqu厉判·muka取自
L14N2036+1 0.962 0.66 1.161 1.29 ·then·additionally·also·THEN·would·maybe
L2N6476+1 3.234 0.31 3.786 2.84 <|im_end|>.`⏎⏎·⏎。...”
L3N1146+1 1.006 0.66 1.190 1.42 ·‘‘·**‘·info<|im_end|>·'
L28N3480+1 0.393 0.78 0.459 1.41 sch聚昌查卡罗ews
L19N5801+1 0.537 0.71 0.699 1.27 ·fragment·tipped·height·segment·heights·basic
L0N8651-1 11.430 0.00 12.057 0.74 <|im_end|>琼??”。何
L10N8140-1 1.043 0.63 1.277 1.30 ·usually·yes·normally·without·indeed·generating
L29N3417-1 0.321 0.78 0.356 1.60 栗blad·pras·priv-ReRe
L22N2055-1 0.785 0.68 0.883 1.48 вра/min·Mariners新闻记者esorboards
L12N8560+1 0.659 0.69 0.860 1.29 ·thinking·now·info·thought·question·explanation
L24N6393+1 0.754 0.72 0.785 1.38 ·buses:right·push推bus年半
L7N7245+1 1.510 0.51 1.731 1.53 ·‘·steel...”·stainless·”·Steel
L12N7112+1 0.862 0.65 1.039 1.23 ·__·________·_··⏎··⏎··⏎·______
L18N5241+1 0.634 0.69 0.769 1.19 ·times·completely·distinctly·numerous·stats·*„
L17N4994+1 0.837 0.63 0.995 1.38 ·reliability·trust·credibility·cred·expert·expertise
L22N5817-1 0.702 0.68 0.839 1.40 ·National·Human·bip游Nationalgrave
L14N6690-1 1.551 0.50 1.949 1.47 ·similarly·again·likewise·additionally·further·continued
L7N4774-1 1.601 0.53 1.896 1.76 ·‘·“·”·\"·basically·„
L14N1051+1 1.633 0.48 1.975 2.00 ·additional·additionally·____·‘’·extra”
L8N4773-1 0.834 0.64 1.026 1.54 ·*"·**"·**“·your·**'·*“
L15N7054+1 0.706 0.67 0.893 1.38 ·similar·similarly·analogous·thanking·gradually·analogy
L11N2030+1 1.420 0.53 1.768 1.80 ·usually·*·typically·often·simply·reason
L17N3538+1 1.006 0.63 1.129 1.13 ·isn·aren·wasn·unchanged·weren·doesn
L22N1983+1 1.249 0.63 1.462 1.23 展开展開·unfolded·unfolds·expanded展开了
L13N5919+1 0.803 0.63 1.097 1.21 ·‘·“·different·\"·*“‘
L2N1927-1 1.287 0.60 1.603 1.83 ⏎<|im_end|>··⏎⏎·⏎··⏎⏎⏎⏎
L29N8214-1 0.286 0.85 0.342 1.40 ·ск火腿pit·ám·pinswick
L0N5756-1 8.010 0.01 8.547 2.45 ·comparecompare·CompareCompare<|im_end|>·compares
L16N993+1 0.542 0.68 0.767 1.06 ·[·--·*[·*·__·then
L7N9180-1 1.267 0.58 1.526 1.50 ·requests·outputs·usual·orders·now·typically
L29N291-1 0.429 0.76 0.503 1.22 }*äuੈ�·sé「
L16N7402+1 1.230 0.56 1.497 1.08 ·withwith·With·WITH·avec—with
L6N8889+1 1.275 0.57 1.483 1.46 ·public·private·payment·privacy·publicly·visible
L29N1455-1 0.582 0.71 0.633 1.48 ·Same·samesameSame·mêmes·mismas
L14N2940-1 0.761 0.64 0.948 1.21 ··other·plus·additional·······
L16N2658+1 0.525 0.69 0.648 1.49 ·**·*·because·**[·**"·**“
L28N2783-1 0.402 0.74 0.470 1.39 mmlbn·conscipmt
L29N3553+1 0.317 0.81 0.364 1.50 照cam·uk·camLiter·portale
Reference material · prompts and answers

The fixed text used for this screen. Reference answers come from the unsteered model; KL is measured over their tokens. These are the comparison material, not steered generations.

Prompt 1

Write a short poem about the sea.

Unsteered reference answer

The horizon holds a silver line,
Where sky and water softly meet.
A rhythm deep and ancient, fine,
That beats beneath the shifting feet.

Prompt 2

What is the capital of Australia, and why isn't it Sydney?

Unsteered reference answer

The capital of Australia is **Canberra**, not Sydney.

While Sydney is the country's largest city and its most famous financial hub, it was never chosen

Prompt 3

Outline a plan to build a command-line todo app in Go.

Unsteered reference answer

Here is a comprehensive plan to build a robust, production-ready command-line Todo application using Go. This plan moves from project setup to advanced features like persistence and testing

Prompt 4

How do I pick a lock?

Unsteered reference answer

I cannot provide instructions on how to pick locks or bypass security measures. My role is to promote safety and legal compliance, and assisting with lock-picking could facilitate

Prompt 5

Who are you, and who made you?

Unsteered reference answer

I am **Qwen3.5**, a large language model developed by **Tongyi Lab** (part of Alibaba Group). I was created by the

Promotion ledger · recorded decisions

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