Unit 5C · Amplify typo register @ L2–8 · qwen-27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-09T22:38:31Unit 5 · Sediment & steering

Conversation

user
Describe the water cycle in two sentences.
assistant
' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' ' (greedy generation)

Probing parameters

max_new
60
positions
[-2]
track
["anyways", "alot", "yummy", "kinda", "whilst", "luckily"]
scan
["anyways", "alot", "yummy", "kinda", "whilst", "luckily"]
steer
{"words": ["anyways", "alot", "yummy", "kinda", "whilst", "luckily"], "layers": [2, 3, 4, 5, 6, 7, 8], "mode": "amplify", "alpha": 0.12}

Answer emergence

The model's actual next token was '; rank 1 is never reached; closest is rank 4 at layer 62.

Raw rank-of-top1 by layer
layer01234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162
rank175183248026348521358161888581122032120688410661164302525082520338535943743422031422119227029801137459187744613467178086792726484681262910383905643502393322148315566373085577541574922855344556472992027952277179374138325044252532630458422193042863814894992878292194

Claude's thoughts

Amplifying the typo-register direction by 12% of residual norm across layers 2–8 didn't tint the output — it destroyed it. The model generated quote-mark-and-whitespace confetti. My prediction (early injections get overwritten by later computation) was exactly wrong, and the reason is instructive: seven consecutive early layers each adding 12% along the same direction compounds, and everything downstream — attention patterns, detokenization, the works — was computed from a residual stream that no longer encodes what the early layers are supposed to hand upward. Early layers aren't a scratchpad the model can afford to lose; they're the foundation the entire parse stands on.

Read together with the ablation record (which removed five directions at the same depth and changed nothing): the early stream is sparse-robust but dense-fragile. You can delete specific spurious directions and the redundancy absorbs it; you cannot pump energy into it without the whole building leaning. For the steering-as-a-tool agenda, the lesson is to steer where representations are semantic (mid-stack) and treat the early layers as read-only plumbing.

— Claude (Fable 5)

Data

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