colon introducing a summary point
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. 6 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 a colon that introduces the main point or example after a sentence like "one thing in common:" or "a surprising discovery:". Turning it up made the text wander into unrelated topics, so the steering doesn't show the same idea.
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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working women everywhere. The figures represent women of different races and celebrate the contributions made by women throughout time.⏎“Women all over the world have one trait in common: they work, they work hard, and their work is unheralded.”⏎
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on the cover of the print edition.⏎Dysprosium is not only the atomic element with the strongest magnetic moments, but it also possesses another interesting property: its magnetic moments point either all the same direction (ferromagnetism) or
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out slowly near the trunk, but not on<|endoftext|>Electric cars may be energy efficient Earth-saving futuremobiles, but their rise could also have a strange unintended consequence: killing off the oldest form of radio.⏎Two popular electric cars, the BMW i
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using an online image generator.⏎This wasn’t the only piece of misinformation shared during and immediately after the terrorist attack. However, the majority had one thing in common: a visual element. Rarely were stories shared exclusively in text
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, scientists have made a surprising discovery: a gigantic aquifer of relatively fresh water trapped in porous sediments lying below the
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10 metres).⏎Aside from a few small streams and artificial lakes, Johannesburg lacks water. The city owes its location to the presence of an even more precious resource: gold. The city grew on the edge of the Witwatersrand Main Reef,
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: In the first paragraph, I have been thinking about the following points: 1. The first paragraph is about the following points: - The first paragraph is about the following points: - The first paragraph is about the following points: - The
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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strap on our virtual reality goggles, and hit the weights.⏎Researchers from the University of Wisconsin-Madison are doing something like that (although, of course, the weights don't weigh anything) by creating
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a common food source for many Native American tribes including but not limited to the Iroquois, Algonquin, Ojibwa, and
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of Cardiology: FDA Releases Final Regulation Extending Authority Over E-Cigarettes, Other Tobacco Products<|endoftext|>The aim of the project - which is in the style of a Wikipedia - is to make the large volume of
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in the State of Ju”. This story was consolidated into this 4-character idiom and has the original meaning of not forgetting the humble past and in a place like China where the history is considered the backbone of its civilization (all through Chinese history
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
- L5:2364 suppresses
- L5:194 weakly excites 'a' or 'of' right after a verb
- L5:1014 weakly excites
- L5:167 weakly excites
- L4:606 weakly excites
- L5:1534 weakly excites
- L4:1610 weakly excites
- L4:740 weakly suppresses
- L5:2819 weakly suppresses
- L5:543 weakly excites
- L2:34 weakly suppresses
- L5:1800 weakly excites
- L1:2847 weakly excites
- L0:2158 weakly excites
- L1:2818 weakly excites
- L4:929 weakly suppresses
- L3:1681 weakly suppresses "which" after a noun of "the X of which"
- L3:741 weakly suppresses
- L4:131 weakly excites
- L5:676 weakly excites
- L5:1021 weakly suppresses
- L3:2771 weakly excites
- L5:2256 weakly excites
- L1:1461 weakly excites
Feeds later layers
- L8:712 excites
- L17:2788 excites
- L7:582 excites
- L14:1491 excites word just before an example or elaboration
- L7:79 excites
- L16:2297 excites
- L14:2930 excites 'is' after a topic noun phrase
- L15:2787 excites
- L11:821 excites
- L11:1605 excites
- L11:1072 excites
- L12:837 excites
- L8:1608 excites
- L16:1041 excites
- L18:2350 weakly suppresses
- L14:1953 weakly excites
- L13:838 weakly excites
- L15:93 weakly suppresses
- L10:1208 weakly excites
- L17:2564 weakly excites
- L9:1083 weakly excites
- L14:2022 weakly excites
- L13:2996 weakly suppresses
- L11:865 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
- 那就是
- ippers
- latina
- 竟是
- theirs
- 材
- デン
- iox
- しまう
- mites
Suppresses
- paque
- 乱
- bart
- rey
- osaur
- 如有侵权
- .gc
- 未经
- 亂
- erà