'out' in 'turns out'
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. 4 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 lights up on the word 'out' in phrases like 'it turns out', where a surprising fact is about to be revealed. It has a strong opposite side on the word 'touch' in 'get in touch', which pushes it the other way. Turning it up did not give a clear theme in the model's replies.
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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structures that are more efficient to run, cutting ongoing costs and minimizing the carbon footprint.⏎What does this have to do with BrightBuilt Barn?⏎Well, it turns out that the Barn was also designed with (simpler and much less expensive)
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pain relief from morphine?⏎Zaborina and Alverdy decided to catalog the surviving gut microbes, find out who they are and—more importantly it turns out—how they are behaving in these patients at risk for sepsis.⏎They
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in domestic rubbish can only be gasified at low temperatures, but this in turn creates tars and waxes that stifle the process.⏎However, it turns out that these tars and waxes are no match for an 800
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-counter medication someone has taken. The toilet can also identify different users by scanning the one part of the anatomy that is always presented to the bowl. (It turns out that this particular part of the anatomy is as individual as a fingerprint. Who knew
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a period that has been dubbed the “magic moment.” The new study is the first to test that assumption, said author Christina Gibson-Davis. “It turns out the ‘magic moment’ lasts longer than conventional wisdom has held,” said Gibson-D
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. But I was still floored. How could a local government agency move so quickly?⏎Turns out, it didn’t. In 2007, Google engineers asked public
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: The user is a member of the community, and I have to provide for the community with which I have to provide with the community, and I have to get in touch with someone. The user has to be given with the community to be
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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Python’s chanting Vikings drowned aside most other conversation into the the latest eatery, the advertisements began drowning away normal communication online. Thus, anybody already been getting in touch with unwanted . Etymology, such as negation, try rarely used by yourself
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students not to talk to strangers or accept rides from someone they don’t know.⏎- Make sure the student knows their phone number, address, how to get in touch with their parents at work, how to get in touch with another trusted adult and
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sensation to a chart-topping music genius lauded for his complex rhythms and socially-conscious lyrics about racism, black liberation, love and unity. He had kept in touch
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Now the television is in competition with other devices -- computers, video games and smartphones. All of these screens offer entertainment, information, and a way to keep in touch with and stay connected to others.⏎With the arrival of the coronavirus pandemic, screens
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
- L3:50 excites
- L3:1806 weakly excites
- L1:2278 weakly excites
- L0:1958 weakly excites
- L3:2369 weakly suppresses
- L3:1926 weakly suppresses
- L3:464 weakly excites
- L3:2548 weakly suppresses
- L2:1367 weakly excites
- L3:1287 weakly suppresses
- L2:237 weakly excites
- L3:2810 weakly suppresses
- L2:2113 weakly suppresses
- L3:342 weakly excites
- L1:1255 weakly suppresses
- L1:1917 weakly suppresses
- L1:994 weakly suppresses
- L2:784 weakly excites
- L3:2044 weakly excites
- L2:2075 weakly suppresses
- L3:2635 weakly excites
- L1:1229 weakly excites
- L1:2179 weakly excites
- L2:92 weakly excites
Feeds later layers
- L7:2802 weakly suppresses
- L10:1418 weakly suppresses
- L10:2474 weakly suppresses
- L17:305 weakly excites
- L5:2534 weakly suppresses
- L6:670 weakly excites
- L20:1335 weakly suppresses
- L7:2462 weakly excites
- L9:231 weakly excites muscle and body movement words
- L17:2135 weakly suppresses 'the' after 'of' and similar words
- L11:445 weakly excites
- L5:2766 weakly excites
- L7:2039 weakly suppresses
- L11:2186 weakly excites
- L5:2340 weakly excites
- L13:35 weakly suppresses
- L22:2730 weakly suppresses
- L12:1050 weakly suppresses
- L8:2327 weakly excites
- L8:1939 weakly excites
- L17:1466 weakly suppresses
- L7:2165 weakly suppresses
- L13:182 weakly suppresses
- L9:711 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
- side
- avor
- DEAL
- ilar
- lado
- nom
- OUS
- SIDE
- 梧
- 凳
Suppresses
- 致电
- ��
- mails
- 第一书记
- SystemService
- 热线
- hotline
- بتاريخ
- 骚扰
- RelayCommand