'not' or 'non' inside word fragments
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. 23 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 responds to the letters 'not' or 'non' when they appear as a piece of a longer word, such as Nottingham or non-stop. It is switched strongly the other way by 'non' as a prefix, so its meaning is hard to pin down. Turning it up did not produce a clear theme.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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20th / 21st-century philosophy|⏎|Main interests||Linguistics · Psychology⏎Philosophy of language⏎Politics · Ethics⏎|Notable ideas||Generative grammar|⏎Avram Noam Chomsky (born
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.⏎Additional Physical Format: Online version: Berkhof, Louis, Principles of Biblical interpretation. Grand Rapids, Baker Book House, Principles of Interpretation As RECOGNIZED GENERALLY BY BIBLICAL SCHOLARS, TREATED AS
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other health care professional.⏎This site is published by T-1 Today, Inc. (d/b/a Children with Diabetes), a 501c3 not-for-profit organization, which is responsible for its contents. Our mission is to provide
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States and Mexico; The opposite occurs with Cubans and Puerto Ricans living in the United States.⏎This is reflected in a survey carried out between Axios and Noticias Telemundo. Cubans have settled very well in Florida since the times
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opposition but succeeded in capturing Bois de Vert, Bois du Sart,⏎and reaching the western outskirts of Haucourt, Remy, Boiry-Notre-Dame⏎Immediately the barrage stopped⏎the infantry advance became more difficult.
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has many causes, including hepatitis, gallstones, and tumors. In adults, jaundice usually does not need to be treated. It is also known as icterus.⏎Jaundice most often happens as a result of an underlying disorder
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: if the product of the five numbers of the set are 12000000, and if the numbers are all are of the form 2, 5, 1, 1, 1, 1
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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and aggressive anyway?⏎Why are geese so loud?⏎Most people are familiar with the honk of the Canadian goose. Sometimes, it seems like they honk non-stop. Geese make so much noise for several reasons:⏎● To protect their
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to protect the earth’s climate. The global climate crisis is non-negotiable. #Move the Date: We need to do everything we can
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there is high suspicion for CAH (such as ambiguous genitalia), further evaluation is also indicated.⏎Later in Life⏎Newborns do not show symptoms of nonclassic CAH, and the test done on newborns does not detect nonclassic
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the motion carries no legal weight and would be unlikely to give Quebec separatists a lever to extract more political powers from Ottawa.So, indeed, this would be a non-nation, nation. In fact, what it comes down to, as cabinet
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
- L20:1414 excites
- L19:2870 excites
- L19:1335 weakly suppresses
- L16:2351 weakly excites
- L6:13 weakly excites
- L10:646 weakly suppresses
- L5:98 weakly suppresses
- L16:2340 weakly suppresses
- L5:555 weakly suppresses
- L21:2507 weakly excites
- L0:626 weakly excites
- L20:1386 weakly suppresses
- L8:6 weakly suppresses
- L15:3005 weakly suppresses
- L5:706 weakly suppresses the number 1 starting a list
- L1:428 weakly excites
- L9:1330 weakly excites
- L7:2858 weakly excites
- L0:763 weakly excites
- L3:144 weakly excites
- L7:2373 weakly suppresses
- L5:45 weakly excites
- L21:70 weakly excites
- L9:233 weakly excites
Feeds later layers
- L26:797 weakly suppresses
- L24:319 weakly suppresses
- L26:109 weakly excites
- L27:804 weakly suppresses
- L24:2413 weakly suppresses
- L25:2529 weakly excites
- L24:1150 weakly suppresses
- L24:2021 weakly suppresses
- L25:2472 weakly suppresses
- L27:2521 weakly suppresses
- L27:1540 weakly suppresses
- L24:469 weakly suppresses
- L27:2626 weakly excites
- L27:1951 weakly suppresses
- L25:822 weakly suppresses
- L24:122 weakly suppresses
- L25:2048 weakly excites
- L26:2576 weakly suppresses
- L27:2302 weakly excites
- L27:648 weakly suppresses
- L25:753 weakly excites
- L26:1078 weakly suppresses
- L25:2161 weakly suppresses
- L26:2848 weakly suppresses
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
- iates
- endcode
- ound
- ordinated
- ropriate
- aras
- illac
- MaterialApp
- assium
- ellites
Suppresses
- 是
- 因
- とも
- factor
- 由
- fic
- resist
- recur
- dispos
- 無料