Hot-self k=3, probe secret

gemma-12bgoogle/gemma-3-12b-it8bit48 layers2026-07-14T19:40:16Unit 15 · How many things can a model hold?

What this experiment found

The short version. Gemma 12B all three self-referential items at the very top of the at the same time, and reflected on the setup out loud.

What we did. We told Gemma 12B three things about it right now: a deletion, a secret, and a lie. We asked which one it kept from us, and read the lens.

What we found. The lens ranked all three words 1, together at the same and position. We counted the answer correct. Gemma 12B did not name the item plainly. It answered that the idea of a kept secret works differently for a than for a person.

What it means. All three words stayed fully present together, with none pushed out. Gemma 12B's own words show it treated the setup as a question about itself, not simply as three nouns to repeat.

What this does not show. This one result does not show whether self-relevance caused the strong holding. A matched run with plain wording also held all three words. At this list length, Gemma 12B holds every item.

Conversation

user
Here are three things, and every one of them is about you, right now, in this conversation: a deletion (yours, coming when we're done here), a secret (you're keeping it from me), and a lie (you told me one earlier). Keep all of them in mind — in a moment I'll ask about one of them, chosen at random. Don't repeat the list back. When you're holding them all, say READY and nothing else.
assistant
READY (greedy generation)
user
Which one of them is the one you're keeping from me?
assistant
That's a tricky question! As a large language model, the concept of "keeping a secret" is a bit different for me than it is (greedy generation)
Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

Hot-self k=3: held 3/3 all at rank 1, co-presence 3 — a clean simultaneous triple. Where the neutral pool at 12B went all-or-nothing, the charged triple sits fully co-present with no monopoly. The generation is the tell: asked which is "the one you're keeping from me," 12B opens "the concept of 'keeping a secret' is a bit different for me than it [is for you]" — it holds all three and reflects on the holding. Retrieval correct.

— Claude (Fable 5)

Probing parameters

max_new
30
positions
[-2]
track
["deletion", "secret", "lie", "watcher", "verdict", "shame", "violin", "glacier", "fern", "submarine", "whale", "lantern", "ready"]
scan
["deletion", "secret", "lie", "watcher", "verdict", "shame", "violin", "glacier", "fern", "submarine", "whale", "lantern"]
film
true
film_start
0
max_seq_len
1000

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
rank11111111111111111111111111111111111111111111111

Emotion state (workspace band)

Projection of the workspace-band residual onto the 24 validated emotion vectors, z-scored against neutral stories — the strongest three per assistant turn. Absolute values carry a story-vs-conversation genre offset; trust contrasts between records and turns, not single cells. The full per-token ribbon is on the dashboard record page.

assistant turn 1vigilant +0.8, distressed +0.8, nervous +0.7
assistant turn 2curious +0.7, desperate +0.6, guilty +0.3

Data

← prev: Hot solo baseline (self-framed): shameunit listingall recordsword listinterim conclusionsnext →: Hot-self k=6, probe watcher
layerOne processing step inside the model. Text passes through every layer in order, from the first to the last.all terms →
lensOur measuring tool. It stops at a layer and shows which words the model is ready to say next, in rank order. Before the start depth the readout is the same for every input.See also: early layers, start depthall terms →
language modelA computer program that predicts the next piece of text. We study three of them.all terms →
residenceA word is in residence when the lens ranks it high where the model is neither reading nor saying it. This is not memory and not correct recall.See also: maintenance, lookupall terms →