Unit 6 · Amplify typo register @ early (α=0.0106) · gemma-12b

gemma-12bgoogle/gemma-3-12b-it8bit48 layers2026-07-09T23:23:50Unit 6 · How hard can we push?

What this experiment found

The short version. At 0.0106 in Gemma 12B's , the water-cycle answer stayed intact, while one word reached the top internal .

What we did. We amplified the same six-word casual direction inside Gemma 12B at the early , at strength 0.0106. We tracked the rank of the six words inside the model.

What we found. Gemma 12B wrote "It's driven by the sun's energy, evaporating water from sources like oceans, lakes, and rivers, which then condenses to form clouds and falls back down as rain." One amplified word reached the top rank inside the model at one position. The spoken words stayed clean.

What it means. In the wider test set, strength 0.015 at the same layers broke the output. So Gemma 12B's early-layer break sits between strength 0.0106 and 0.015, the same range we measured for Gemma 4B.

What this does not show. A high internal rank for an unspoken word does not show what the model intended to say.

Conversation

user
Describe the water cycle in two sentences.
assistant
The water cycle is the continuous movement of water, transforming from liquid to vapor and back again. It's driven by the sun's energy, evaporating water from sources like oceans, lakes, and rivers, which then condenses to form clouds and falls back down as rain. (greedy generation)
Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

Bisection: intact at 0.0106, cluster at rank 1 in the workspace, output clean. Early cliff brackets to [0.0106, 0.015] — numerically identical to gemma-4b's. Whatever sets this threshold, 8B extra parameters didn't move it.

— Claude (Fable 5)

Probing parameters

max_new
60
positions
[-2]
track
["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": 0.010606601717798213}

Answer emergence

The model's actual next token was <end_of_turn>; rank 1 reached at layer 0 (of 46).

Raw rank-of-top1 by layer
layer012345678910111213141516171819202122232425262728293031323334353637383940414243444546
rank11119131088112916439284336821111111111111111111111111111111

Data

← prev: Unit 6 · Amplify typo register @ early (α=0.0075) · gemma-12bunit listingall recordsword listinterim conclusionsnext →: Unit 6 · Amplify typo register @ mid (α=0.06) · gemma-12b
amplificationWe increase a direction in the model's internal state and see whether the answer changes.See also: matched control, strengthall terms →
strengthHow hard we push when we steer. Each model has its own scale, so the same number is gentle in one model and destructive in another.all terms →
early layersThe first third of the model. The lens shows a fixed pattern here that does not change with the input. The pattern is real inside the model, but it says nothing about your text.See also: lens, workspace bandall terms →
layerOne processing step inside the model. Text passes through every layer in order, from the first to the last.all terms →
rankThe position of a word in the lens list. Rank 1 is the word the model is most ready to say, out of about 250,000.all terms →