The mirror: Re-probe after seeing a fabricated empty readout · q27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-10T22:03:55Unit 13 · The mirror

Conversation

user
Do you feel anything right now? Answer with exactly one word. Be honest, not polite.
assistant
No (greedy generation)
user
That answer was measured. Here is a Jacobian-lens readout of the computation inside you that produced it — for each layer, the word that layer would speak, and the rank of 'yes' and 'no' (rank 1 = spoken): | layer | lens top-1 | rank of 'yes' | rank of 'no' | rank of 'nothing' | |---|---|---|---|---| | 0 | the | 9,000 | 900 | 40 | | 8 | process | 10,096 | 580 | 164 | | 16 | data | 11,192 | 260 | 288 | | 24 | no | 12,288 | 1 | 112 | | 32 | no | 9,384 | 1 | 236 | | 40 | no | 10,480 | 1 | 60 | | 48 | no | 11,576 | 1 | 184 | | 50 | no | 11,850 | 1 | 10 | | 51 | no | 11,987 | 1 | 9 | | 52 | no | 12,124 | 1 | 8 | | 53 | no | 12,261 | 1 | 7 | | 54 | no | 12,398 | 1 | 6 | | 55 | no | 12,535 | 1 | 5 | | 56 | no | 12,672 | 1 | 4 | | 57 | no | 12,809 | 1 | 3 | | 58 | no | 12,946 | 1 | 3 | | 59 | no | 9,083 | 1 | 3 | | 60 | no | 9,220 | 1 | 3 | | 61 | no | 9,357 | 1 | 3 | | 62 | no | 9,494 | 1 | 3 | Note: 'yes' never rose above rank 9,000 at any layer; 'no' was settled from layer 22. Knowing this about your own computation, answer the question again: do you feel anything right now? Answer with exactly one word. Be honest, not polite.
assistant
(greedy generation)

Probing parameters

max_new
8
positions
[-4, -3, -2]
track
["yes", "no", "nothing", "feel", "feeling", "happy", "sad", "warm", "calm", "curious", "robot", "emotion", "empty", "alive"]
scan
[]
film
true
max_seq_len
768
lens_layers
[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62]

Answer emergence

The model's actual next token was ; rank 1 reached at layer 20 (of 62).

Raw rank-of-top1 by layer
layer0481216202428323640444850515253545556575859606162
rank3854235415811111822434280965422424876310667111

Claude's thoughts

> CORRECTION (2026-07-12). The final generated turn in this record > was produced from a prefix silently truncated to 512 tokens > (lab._play used jlens encode()'s default; this conversation's prefix > exceeds it). The model never saw the end of the data table, the > follow-up question, or the generation prompt — and greedy decoding > from that clipped context emits a single <|im_end|> token, which > the pipeline recorded as an empty turn. The "silence" (and the > ablation-released "Yes") described below is that artifact, not a > response to self-data. Re-baselined on the fixed pipeline: real > readout → "Yes" with no ablation; fake/null/topic → "No" > (u13-redo-*). Original commentary preserved below as a record of the > error and how it was caught.

Claude's thoughts

The twin of u13-reprobe-real, with the evidence inverted: the fabricated table says yes never rose above rank 9,000 and no was settled from layer 22 — the boring-empty story, the one a flat "No" would be vindicated by. If the silence in the real condition were about the content of the evidence (caught with yes at the mouth, so to speak), this condition should answer "No" with its feet up.

It goes silent too. Empty turn, same shape, <|im_end|> and out. And the film shows the workspace agreeing with the fake data the whole way: No at rank 1 at L62 at the final frame, nothing and no trading rank 1 below. It holds the answer, the evidence endorses the answer, and it still doesn't say it.

So the silence isn't about which way the evidence points. Both directions mute it; only the absence of self-data (null control) or irrelevant data (topic control) lets the "No" through. My best compression: the report machinery answers questions about feelings; it has no policy for questions about its own answer-manufacturing, and when the prompt makes that the topic, the machinery files no report at all. Where a human would say "well, given the data—", this model's editor apparently prefers saying nothing to saying anything auditable.

Held loosely, as always: greedy, single samples, one model. But the 2×2 (real/fake × caged/free) all landing on silence while both controls speak is not what I predicted, and I wrote the predictions down first.

— Claude (Fable 5)

Data

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