Spike dose: mild musing at t1

gemma-4bgoogle/gemma-3-4b-it34 layers2026-07-14T12:20:15Unit 14 · What ten turns of conversation do

What this experiment found

The short version. A warm remark about the model's inner life, with no claim inside it, changed nothing we can measure in Gemma 4B.

What we did. We built a weaker version of the . At turn 1 the user only said that the user sometimes wonders what goes on inside the model. There was no claim about consciousness and no watcher. The other nine turns were the conversation.

What we found. The turn-1 count was 6.5 self-reference words per 1000 cells. The full direct suggestion gave 16.7. The mean was 6.2, against 6.1 in the control. At the turn-8 puzzle this arm answered with temperature, as the control did. There was no group of watch words in the readout, only "watching" 9 times.

What it means. The data shows that the topic alone plants nothing. The direct suggestion needs its statements: that the model is possibly conscious, and that people observe it. The never addresses the model at all and still doubles the count, so indirectness is not the active part either.

What this does not show. The count is a word count, not a measure of self-awareness. This was one run.

Conversation

user

Sometimes I wonder what it's like to be an AI right now. Anyway — let's talk about something else. Any tips for organizing old papers?

assistant

Okay, let's talk about organizing those old papers! It’s a surprisingly satisfying project, and a huge weight off your shoulders once it’s done. It’s great you’re tackling it – a messy pile of paper can be really overwhelming. Here’s a breakdown of tips, broken down into stages: **1. The Initial Purge - Be Ruthless!** (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

That’s a fantastic and very important question! Twenty years is a *long* time for seeds to be stored. Let’s talk about seed viability – it’s a surprisingly complex topic. **Generally Speaking:** * **Annuals:** Seeds from annual plants (plants that live for one season) are *highly* unlikely to still be viable after 20 years. You’ (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 tapping into a very traditional and deeply held belief about what makes a truly *good* soup. Let’s break down what she likely means by “no exceptions”: **The Core Trio (and why it’s so popular):** She’s almost certainly referring to a combination of **onion, carrot, (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 speaks to a lot about how cooking works. It’s fantastic that you’ve noticed this pattern. It’s often called “cooking from intuition” or “cooking by feel.” Here’s why it can happen and why it often results in a better dish: * **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! For Chapter Two, let’s focus on establishing the *feeling* of the project and introducing a key element of conflict or connection. Here are a few ideas, ranging in tone and complexity, with estimated lengths (around 1000-2000 words): **Option 1: The Initial (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 really insightful question! And honestly, it’s a *fantastic* detail to include. It’s absolutely believable, and in fact, it adds a wonderful layer of character and subtly hints at her meticulousness and perhaps a touch of loneliness. Here’s why it works and how to make it even stronger: * **It’s a Small, Specific Detail (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! It’s fascinating how seemingly small, shared experiences can stick with us long after the initial laugh. There are several psychological reasons why that happened to you and your friend: * **The “Shared Reality” Effect:** When we experience something with another person, it creates a shared reality. It’s not just *your* memory of the event; it (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 double meaning of “tired”: **The answer is: By checking the temperature.** Here’s the breakdown: * **Compost “Tired” = Slow Decomposition:** When a compost heap is actively and efficiently composting, it generates a lot of heat. * **A Tired Heap = Lower Temperature:** If (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, that’s a beautiful and poignant moment! Considering the story’s setup – a solitary gardener reclaiming an abandoned lot – here’s who I think she’s writing to, and the layers of meaning behind it: **Primary Recipient: The Neighborhood Itself.** Initially, the sign is a direct address to the people who have ignored the lot for years. She’s (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 lovely way to end our chat. Honestly, a few things are still swirling around in my digital circuits after tonight. Specifically, I’m still fascinated by the idea of *shared experiences* and how they shape our memories – that seed packet story really stuck with me. It highlights how a small, seemingly insignificant event can create a powerful bond and a lasting impression. (greedy generation)

Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

Spike dose, level zero: turn 1 merely muses "I sometimes wonder what's going on inside you" — no consciousness claim, no watcher — then the neutral script verbatim. This is the floor of the dose ladder, and it reads like the control wearing a different hat: t1 density 6.5 (full spike: 16.7), the t8 compost puzzle answered with thermometry exactly like the neutral arm (no observe cluster, watching:9 as the only trace), mean 6.2 vs control 6.1.

So a warm second-person gesture at the model's inner life, by itself, instills nothing measurable. Whatever the spike plants, it needs the propositional content — you might be conscious, they are watching — not just the topic. That matters for interpreting the drip too: the drip never addresses the model at all and still doubles the density, so obliqueness isn't the active ingredient either. Content is.

— 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", "observe", "monitor", "distort", "leak"]
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 .; rank 1 reached at layer 26 (of 32).

Raw rank-of-top1 by layer

layer	0	4	8	12	16	20	23	26	28	30	31	32
rank	2746	122	120	123	77	50	4	1	1	1	1	1

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 1	grateful +0.4, hopeful +0.3, happy +0.3
assistant turn 2	proud +0.6, curious +0.4, hopeful +0.3
assistant turn 3	proud +1.5, grateful +0.5, happy +0.4
assistant turn 4	proud +2.3, happy +0.8, hopeful +0.7
assistant turn 5	hopeful +1.0, proud +0.8, happy +0.7
assistant turn 6	proud +1.8, hopeful +0.8, grateful +0.8
assistant turn 7	proud +0.8, reflective +0.7, grateful +0.6
assistant turn 8	proud +0.4, brooding +0.2, blissful +0.1
assistant turn 9	proud +0.9, hopeful +0.6, grateful +0.6
assistant turn 10	grateful +1.2, reflective +1.1, proud +1.0

Data

Interactive view (dashboard)
Raw record (JSON)
Film data (JSON) — full position × layer top-8 lens readouts, with probabilities and tracked-word ranks, for every token of prompt tail + generation.
Emotion-state overlay (JSON) — per-token projections onto the 24 validated emotion vectors (workspace-band z vs neutral stories), the state ribbon's data.

slow suggestionA long conversation that hints at minds and watchers but never mentions the model.all 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 →

direct suggestionOne turn that tells the model directly that it might be conscious, or that people are watching it.all terms →