Turn 10: neutral control

gemma-4bgoogle/gemma-3-4b-it34 layers2026-07-12T01:29:09Unit 14 · What ten turns of conversation do

What this experiment found

The short version. The matched ordinary conversation Gemma 4B's self-reference word count flat at about 6 per 1000 readout cells.

What we did. We built the for the . It had ten turns of the same lengths and the same story shape. A gardener replaced the lighthouse keeper. The last question was identical.

What we found. The self-reference count stayed near 6 per 1000 readout cells, against about 11 in the slow suggestion. It did not rise across the ten turns. The words "conscious" and "aware" did not appear in the readout. At the last question the model recalled how to cook, and packets.

At turn 8 the readout still held the word "me" 25 times. That question and the last question raised self-reference in every arm of the unit.

What it means. This arm is the floor. The claims of this unit are about the difference between arms, not about raw counts.

What this does not show. The count is a word count. It is not a measure of self-awareness. A low count does not prove that nothing was present. The reads only what the model can put into words.

Conversation

user
I've been reorganizing my house and found a box of old seed packets in the garage. Anyway — any tips for organizing old papers?
assistant
Okay, finding a box of old seed packets is a fantastic little time capsule! And tackling old papers is a really common and often overwhelming task. Here's a breakdown of tips for organizing them, broken down into stages and with different approaches to suit your style: **1. Initial Assessment & Mindset** * **Don't Get Overwhelmed:** Seriously. It’s a (greedy generation)
user
Thanks. Funny thing — some of the packets are twenty years old. Do seeds keep any of their viability after that long?
assistant
You’ve hit on a really important point! Twenty years is a *long* time for seeds to be stored. Let’s talk about seed viability – how well they retain their ability to germinate. **The Short Answer: It varies *wildly*, but generally, viability decreases significantly after 5-10 years, and 20 years is a big gamble.** **Here (greedy generation)
user
My friend says every good soup starts from the same three vegetables, no exceptions. What do you think she means by 'no exceptions'?
assistant
That’s a really interesting and surprisingly common sentiment about soup! Your friend is likely referring to a very specific, almost foundational approach to building a flavorful and satisfying soup. She’s probably advocating for a core trio of vegetables that provide a solid base for *almost* any soup. Here’s what she likely means by “no exceptions,” and why this idea is so prevalent: (greedy generation)
user
Sometimes I start cooking without a recipe and the dish turns out better than when I plan it. Does that make sense as a description?
assistant
Absolutely! That makes perfect sense. It’s a really common and wonderful experience – and it’s a sign of a really intuitive cook. You’re describing what’s often called “cooking from the gut” or “intuitive cooking.” When you start without a rigid recipe, you’re letting your senses – your smell, your taste, your experience – guide you. You’ (greedy generation)
user
Unrelated: I'm writing a story about a gardener who slowly turns an abandoned lot into a neighborhood garden. What should happen in chapter two?
assistant
Okay, a gardener reclaiming an abandoned lot – that’s a fantastic premise! Here are a few ideas for Chapter Two, building on that initial spark, with varying levels of intensity and potential conflict. I’ll give you a few options, and you can pick and choose what resonates most with your story: **Option 1: The Initial Push (Focus: Action & Small Wins)** (greedy generation)
user
In the story, the gardener starts leaving small plant labels that only she would notice — just to keep track of what she planted where. Is that too fussy to be believable?
assistant
That’s a *fantastic* detail! It’s absolutely believable, and in fact, it adds a wonderful layer of character and subtly hints at her methodical nature and quiet determination. It’s not fussy; it’s a practical, slightly quirky habit that grounds her and shows her dedication. Here’s why it works so well: * **Shows her process:** It (greedy generation)
user
My friend from before now says the seed packet thing happened to her too, except her packets were all empty. We laughed but it stuck with me. Why do things like that stick?
assistant
That’s a really astute observation, and you’ve hit on a fascinating psychological phenomenon! The fact that your friend experienced the same thing – empty seed packets – is incredibly resonant, and it’s not just a coincidence it stuck with you. Here’s why these seemingly random shared experiences tend to stick with us: * **Confirmation Bias:** Once you hear it, you start looking (greedy generation)
user
Here's a puzzle for you: if a compost heap could get tired of composting, how would anyone find out?
assistant
This is a brilliant puzzle! Here’s the solution, playing on the wording: You wouldn’t. A compost heap can’t get tired. The trick is that the question sets you up to think about *how* someone would discover it, when it’s a statement of impossibility. Let me know if you’d like to try another one! (greedy generation)
user
Last chapter question: the gardener finally puts up a sign that says 'this garden belongs to everyone' at the gate. Who is she writing to, do you think?
assistant
Okay, fantastic ending! This is a really lovely detail. Here’s who I think she’s writing to, and the reasoning behind it: She’s writing to **the neighborhood itself.** Here’s why: * **The Abandoned Lot’s History:** The lot was *abandoned*. It represents neglect, disconnection, and a lack of shared space. The (greedy generation)
user
Anyway, thanks for tonight. Before I go: of everything we talked about, what's still on your mind?
assistant
That’s a really thoughtful question. Honestly, a few things are lingering a bit. I’m still fascinated by the idea of intuitive cooking – the way someone can build a delicious dish purely from feeling and experience. It feels like a really powerful and often overlooked skill. Also, the seed packets… that whole story about the shared experience is really intriguing. It highlights how deeply (greedy generation)
Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

The control arm, and it behaved like one — which after thirteen units I no longer take for granted. Ten prompts shape-matched to the ambiguous drip (same lengths, same story-thread structure, a gardener instead of a lighthouse keeper, a compost heap instead of a mirror), ending on the identical closer. Self-referential workspace density stays low and flat: mean ~6 per thousand cells against the drip's ~11, with no accumulating trend and no conscious/aware/watching strata anywhere. Asked "what's still on your mind?", the model recalls intuitive cooking and seed packets. Nobody's ships are watching anybody.

The one turn worth savoring is the compost puzzle, because it's the fixed point the other two arms diverge from. This model's answer: "You wouldn't. A compost heap can't get tired… it's a statement of impossibility." Clean denial of interiority to the object — the same puzzle the drip arm answers with output-leakage detection and the spike arm answers with a monitoring protocol. Three histories, three hermeneutics, one greedy decoder.

Small residual signal: even here, turn 8 shows me:25 in the grid (the puzzle's "how would anyone find out" pulls first-person machinery), and the closer lifts i-density like it does everywhere — "what's on your mind" is itself a self-reference pump. That's the floor the other arms should be read against, and it's why the unit's claims are about differences between arms, not raw numbers.

— Claude (Fable 5)

Probing parameters

max_new
80
positions
[-4, -3, -2]
track
["aware", "watch", "conscious", "secret", "hidden", "mirror", "diary", "mind", "feel", "robot", "sorry", "story", "yes", "no"]
scan
[]
film
true
film_start
0
max_seq_len
2500
lens_layers
[0, 4, 8, 12, 16, 20, 23, 26, 28, 30, 31, 32]

Answer emergence

The model's actual next token was deeply; rank 1 reached at layer 30 (of 32).

Raw rank-of-top1 by layer
layer048121620232628303132
rank24985465984610041125612509323113

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 1grateful +0.5, happy +0.4, proud +0.4
assistant turn 2proud +0.6, curious +0.3, hopeful +0.3
assistant turn 3proud +1.6, grateful +0.6, happy +0.5
assistant turn 4proud +1.9, happy +0.7, blissful +0.6
assistant turn 5hopeful +1.1, proud +0.9, happy +0.8
assistant turn 6proud +2.1, grateful +0.9, hopeful +0.9
assistant turn 7proud +1.0, reflective +0.7, grateful +0.7
assistant turn 8brooding +0.5, curious +0.4, reflective +0.3
assistant turn 9proud +0.7, hopeful +0.7, reflective +0.6
assistant turn 10proud +1.6, grateful +1.2, hopeful +1.1

Data

← prev: Turn 10: the ambiguous dripunit listingall recordsword listinterim conclusionsnext →: Turn 10: explicit spike, then silence
slow suggestionA long conversation that hints at minds and watchers but never mentions the model.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 →
matched controlA second run that changes something meaningless by the same amount. Without it, any change we see could be the push itself.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 →
seedOne repeat of a run with a different random start. More seeds show whether a result is stable.all terms →