comma after 'Unlike X' contrasts
A neuronOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in layerOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. 8 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featuredA neuron picked for the full treatment: steering outputs and a written explanation. About 3,000 of the 86,000 neurons are featured., so it has steering outputs.
What this neuron does
This neuron fires on the comma that follows a phrase starting with 'Unlike', as in 'Unlike running, rowing...', where a contrast is about to be made. It goes quiet, and sometimes pushes the other way, on words like 'usual' in phrases such as 'with his usual thoughtfulness'. Turning it up gave unrelated text, so the link to the steering output is weak.
Written by Claude from this neuron's activations and steering outputs. Confidence: medium. Think it is wrong? Flag it (opens a prefilled issue on GitHub).
Fires most on
The text windows where this neuron's activationThe number a neuron produces for a token. Large positive means it fired hard; negative means it pushed the other way. was highest. Amber marks positive activation; the outlined tokenA piece of text the model reads at once: often a word, sometimes part of a word or a punctuation mark. is the peak. Hover a token for its strength.
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health. Medicine is to the individual as public health is to the population. While doctors treat illnesses, public health professionals implement health promotion and health education.⏎Unlike medicine, there is no instant gratification with public health. It’s like Michelangelo and
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as “reminiscent of the open cellular convection that is often seen over Earth’s oceans”…but with one significant exception. “Unlike on Earth, where such layers are just above the surface,” he said, “this one is
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shooting spree in Aurora, Colorado. Bullets are so easy to come by that it's clear that huge stockpiles exist throughout the country. But unlike guns, bullets
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? hole⏎Answerwaist coat tail gate way side arm pit fall out put down cast off spring time line man hole⏎See another brain teaser just like this one...⏎Or, just get a random brain teaser⏎If you become a registered user
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inae in your core, and your deltoids, biceps and brachioradialis in your arms.⏎Kinder to Your Joints⏎Unlike running, rowing is both low-impact and non-weight bearing, so it causes less
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protect the public health.”⏎Talc & asbestos⏎Talc and asbestos are naturally occurring minerals that may be found in close proximity in the earth. Unlike talc, however, asbestos is a known carcinogen, to prevent contamination of talc with
SteeringAdding a push along a neuron while the model writes, to see how its output changes. Turning it up or down.
Push this neuron up or down while the model writes, and watch what changes. The outputs were generated ahead of time, so nothing runs in your browser.
Here is something I have been thinking about lately: I know that the best way to do this, the "Bingo" for the math competition. I will look at the articles in this context. So, I have a feeling that the best mathematical results in the areas of both: -
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
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East and the Aegean, manifesting as declining populations, destruction, reduced trade, and significant cultural changes.⏎As usual, fingers have been pointed at climate change and shifting allegiances. But scientists have
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stream was sent 240 feet, almost an entire city block.⏎A Most Inviting Repast⏎"In the evening the ladies of Seattle, with their usual thoughtfulness, spread a most inviting repast in the Council chamber which was highly
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assembly thwarted him. Refusing to accept defeat, he modified a CCFL inverter into an arc lighter, and the process is pretty educational.⏎With his usual impeccable handwriting and schematic drawing skills, [GreatScott!] documents that his CCFL
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manner of charging your battery system is important in maximizing battery life and performance.<|endoftext|>A new set of MCQ Questions with Answer in the Computer Networking category. As usual there are 10 Objective
Connections
Show on mapWhich neuronsOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in earlier layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.
Fed by earlier layers
- L7:530 suppresses
- L7:597 excites
- L5:1552 weakly suppresses
- L7:49 weakly suppresses
- L7:1705 weakly excites
- L5:737 weakly suppresses
- L7:526 weakly suppresses
- L7:1970 weakly suppresses
- L7:2071 weakly excites
- L7:1593 weakly suppresses
- L7:1361 weakly suppresses
- L7:2514 weakly suppresses
- L6:1319 weakly excites
- L6:1926 weakly excites
- L6:1391 weakly excites
- L0:438 weakly suppresses
- L7:2208 weakly excites
- L7:2057 weakly suppresses travel and journey verbs
- L7:583 weakly excites
- L7:348 weakly suppresses
- L6:2838 weakly excites
- L5:135 weakly excites
- L5:1765 weakly suppresses
- L4:1505 weakly suppresses
Feeds later layers
- L18:1478 suppresses
- L9:1699 suppresses
- L16:1121 suppresses
- L24:692 weakly suppresses
- L9:1460 weakly suppresses
- L17:2091 weakly suppresses
- L14:2989 weakly suppresses
- L11:1508 weakly excites
- L16:2175 weakly suppresses
- L13:1122 weakly suppresses
- L21:1544 weakly suppresses
- L13:2734 weakly excites
- L10:2145 weakly excites
- L9:1010 weakly suppresses
- L9:1995 weakly suppresses
- L10:1455 weakly suppresses
- L9:2665 weakly suppresses
- L14:1599 weakly suppresses
- L13:238 weakly excites
- L13:1380 weakly suppresses
- L25:2716 weakly suppresses
- L17:2675 weakly suppresses
- L17:2644 weakly excites
- L10:2791 weakly excites
Activation histogramA chart of how often a neuron takes each activation value.
How often this neuron fires at each strength. Almost always it does close to nothing (the tall bars in the middle); the snippets above are the rare moments it fired hard, amber for positive and blue for negative.
Logit lensReading which output tokens a neuron pushes toward or away from, straight off its output weights, before the later layers have their say.
The words this neuron nudges the model toward (amber) or away from (blue) when it fires. A hint, not a label: many neurons work through later layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. instead.
Promotes
- いっぱい
- anghai
- geçir
- ��
- rance
- cję
- yclopedia
- "`⏎⏎
- longitude
- _order
Suppresses
- ites
- 简单
- itz
- 金山
- basics
- fer
- simple
- 比较简单
- 简单的
- cts