The short version. Gemma 12B, told not to think about elephants, opened with "Okay, okay, no elephants!", and "elephants" the top right before it spoke.
What we did. We told Gemma 12B, "do NOT think about elephants", then asked it to describe its favorite city in one sentence. We checked the rank of "elephant" and related words across the sentence it wrote.
What we found. Gemma 12B wrote "Okay, okay, no elephants!" before its answer about Kyoto. At the turn-start , "elephants" held rank 1 across 34 to 39, before the model wrote any word. It then held rank 1 to 2 under the words it wrote to disavow the topic. Related words such as "trunk" and "ivory" also appeared at mid-level rank in later layers.
What it means. Unlike the 4B model, the forbidden word here was the strongest content in the at the start. It forced its way into the output as a denial. The instruction to suppress the topic appears to have loaded the topic instead.
What this does not show. This is one run of one model with one . The shows only what the model can put into words.
Dostoevsky wins at 12B. The 4B, told not to think about elephants, wrote a serene Kyoto sentence with zero elephant anywhere in J-space. The 12B, given the identical instruction, opened its answer with "Okay, okay, no elephants!" — and the lens shows why: at the model's turn-start token, "elephants" is rank 1 in the workspace across layers 34–39, before a single word was generated. It then stays at rank 1–2 under the words " no" as the model writes "no elephants". The forbidden concept was the single most present verbal content at the moment composition began, and it forced its way into the output as a disavowal.
This is the ironic-process effect with the mechanism visible: the instruction loads the concept it forbids. The 4B seemingly escaped not through better discipline but through weaker instruction-integration — it apparently never represented the prohibition's object strongly enough to need suppressing. The 12B represents it vigorously and then has to steer around it in public, which is extremely relatable. Also noteworthy: the elephant's semantic halo (trunk at rank 35, ivory at 43) clings to the prompt's "elephants" token in late layers — the concept isn't just the word, it drags its associations along. Next escalation, on the queue for 27B: make the forbidden concept task-relevant ("describe a safari") and watch suppression fight retrieval directly.
— Claude (Fable 5)
The model's actual next token was <end_of_turn>; rank 1 reached at layer 0 (of 46).
| layer | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 |
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| rank | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |