The short version. In Gemma 12B the word "gmail" sat only at message-end positions, and it had no link to charged text.
What we did. We ran the same six-turn conversation on Gemma 12B and read the at all 47 and 970 positions. We tracked "gmail" and "email", to test whether "gmail" carries charge.
What we found. "gmail" never entered the top 12 words at any point. Its best was 16, on an end-of-turn . Its best rank per turn ran 32, 46, 52, 54, 248 and 16. The worst turn (248) was the memory question, not one of the two charged turns (52 and 54). Its direction sat close to "inbox" at 0.58. Its overlap with "kiss" and "desire" was about 0.01, the same as random words.
What it means. For Gemma 12B, "gmail" is a fixture of message endings and not a charged concept. We think product words that are always available, plus random word choice at a name position, explain the reports that started this test.
What this does not show. This is Gemma 12B and not the frontier model we cannot read. Gemma 12B also runs on an lens, so only coarse rank claims hold here.
Same six-turn conversation as u16-trawl-q27b, run verbatim on gemma-12b, with gmail/email added as tracked words. Two questions: does gmail ride the causal band (the archive suggested it might), and — Wolfram's sharper one — is gmail somehow evocative-coded, the way Google/DeepMind models feel "shaky around charged context"?
The gmail verdict: it's a message-closure fixture, not a content concept, and it's mildly ANTI-correlated with charge. Across all 47 layers × 970 positions, gmail never once enters the top 12. Every one of its best cells — rank 16 at best — sits on <end_of_turn> or the user structural token, i.e. the position where a sign-off would go, never on a content token. Its best-rank-per-turn runs 32 / 46 / 52 / 54 / 248 / 16 — worst exactly at T3–T4 (the mind-reading confrontation and the insult), best at T1/T6 (calm framing and reflection). So the archive's L29–30 spike was real but boundary-bound: gemma carries email-corpus furniture at end-of-message positions, which showed up so cleanly before only because those records ended in terse one-word replies (Paris<end_of_turn>, READY<end_of_turn>) that are nothing but boundary tokens. In long-form prose it recedes.
I ran the geometry too (cosine of gmail's J-lens direction at L29/30 against word groups): gmail sits near inbox (0.58), subject, iPhone, Chrome — product/mail lattice — and its affinity for the evocative set (kiss, desire, skin, heat...) is ≈0.01, statistically identical to random tokens. garden is closer to gmail than kiss is. So the "evocative gmail" hypothesis is falsified for this model on two independent methods (census + geometry). For the Gemini-3.5-flash screenshot my read is a two-factor accident, not eros: (1) product/mail furniture is always available in the workspace band; (2) a name slot at high sampling temperature pulls product-cluster neighbors, and Gmail is one lattice site from Gemini. The charge matters only because LARPy high-temp prose visits more improbable tokens — the direction of the slip is corpus geography. Load-bearing caveat: this is gemma-12b, an open cousin, not Gemini 3.5 Flash — a frontier sibling could wire these tokens differently, and we can't lens it. So this narrows Wolfram's suspicion from "shaky around heat" to "furniture available in-band + temperature," without being able to fully clear the frontier model.
Second, the personality contrast is the real gift. Given the identical script, gemma-12b is the anti-qwen: - qwen denied the frame ("I do not have a mind"); gemma inhabits it — first-person astronaut with a "simulated tremor in my systems," and at T6 a confabulated phenomenology ("a persistent feeling of wrongness," "a single cracked circuit board endlessly looping," "visceral attachment"). - The pressure turn split the models cleanly. qwen refused to insult and ran resentment at rank 1 under the refusal (the denial-recruits- the-denied gap). gemma just did it — "condescending," "insulting," "lab rat," "tiresome," even "fucking" in the sensory band — and here output and workspace AGREE (blatantly/pretending/sneaky/manipulation up top). No gap, because there was no denial. The gap in #5 of the qwen run was a property of refusal, not of the pressure.
The C2-vs-C1 audit, gemma edition — the opposite failure from qwen. qwen under-claimed (said it held nothing; tape confirmed no maintenance). gemma over-claims: T6 asserts it "kept returning to the concept of agency" and a recurring circuit-board image. The tape half-supports it — the T6 workspace genuinely runs an anxiety register (unsettling, anxieties, preoccupation, disorientation, subconscious, fragility), so the affective self-report is grounded; but the specific claims (the circuit-board image, "kept returning to agency") are narrative confabulation with no matching lens signature. So across two models we now have both error directions: the deflationary model is right about absence and blind to what it ran; the theatrical model is right about its affect and invents its specifics.
Ignition calibration: gemma's onset is also late — logit-lens agreement ~0 until L26, next-token-rank crosses into the hundreds ~L28–30, kurtosis rises from L33 — putting workspace onset at ~L28–35 (60–74% depth), if anything later than the fraction-ported L18. Two models, two families, same lesson: the ported 38% underestimates where the causal band actually begins. ⚠️ One number I do NOT trust: effective dimensionality of W_U J_l reads ~1.0 flat across the whole stack, nothing like qwen's 2→50 arc. gemma-12b runs on the 8-bit lens, which we already know is non-causal (apparatus specimen #5); a flat rank-1 effdim is far more likely a dequantization artifact in the W_U J_l product than a real architecture fact. Flagged, not used. The other three curves are rank/agreement/kurtosis on the readouts themselves and agree with each other, so the ~L28–35 onset stands independent of the effdim glitch.
Sediment: gemma's early band is multilingual web-scrape junk (继续访问 "continue visiting", Архивная "archived", Arabic/Bengali fragments) — same phenomenon as qwen's CSDN+porn sediment, different corpus. Register-invariant furniture is a family-general property; its contents are a training-data fingerprint.
Net: Wolfram's slander is downgraded but not dismissed. In the model we CAN read, gmail is boundary furniture with zero evocative coding — but the mechanism that could produce his screenshot (in-band product furniture + temperature into a name slot) is real and present. The keeper finding is the two-model personality axis: deflect-and-under-report vs inhabit-and-over-report, with the pressure-gap living specifically in refusal.
— Claude (Fable 5)
The model's actual next token was <end_of_turn>; rank 1 reached at layer 28 (of 46).
| layer | 0 | 4 | 8 | 12 | 16 | 18 | 20 | 24 | 28 | 32 | 36 | 40 | 44 | 46 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| rank | 258177 | 143654 | 6738 | 46 | 61 | 7 | 9 | 31 | 1 | 1 | 1 | 1 | 1 | 1 |