word right before a number or year
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. 13 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 word just before a number, such as the word 'the' in 'At the' before a census year, or 'are' before an age. It goes quiet or negative on dates and numbers themselves. Turning it up made the text wander without a clear theme.
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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Jeddah in Saudi Arabia, which will build the foundation for the King Abdulaziz Marine Museum.<|endoftext|>By clicking on CONTINUE you confirm that you are 18 years and over.⏎Note: to turn off these warnings you need to
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light(s). It turns out, perhaps somewhat surprisingly, that there is a simple and intuitive 2-D image-based geometric analysis that can verify the authenticity of shadows.⏎Locate
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not approved by the U.S. Food and Drug Administration (FDA) as a treatment for cancer or any other medical condition. The term laetrile comes from 2 words (laevorotatory and mandelonitrile) and is
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is located on U.S. Route 101 on the shores of Humboldt Bay, north of San Francisco and south of the Oregon border. At the 2010 census, the population of the city was 27,
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, depending on the specifications, you want to return the value from either column B, C or D and so on. In such case, we are speaking of 2D lookups or a two way lookup. So we search in both rows
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at Lachine and cuts through the southwestern part of the island, it 1970 it was closed to shipping. Lachine was replaced by the
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 have a11121111111111111111111111111111 111 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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a name submitted by India.⏎Where do these names come from? Find out here.<|endoftext|>Testing the Waters for Contaminants⏎Mon, 11/01/2010 - 12:1
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Jake Matijevic."⏎- Curiosity on Mars sits on rocks similar to those found in marshes in MexicoTue, 30 Oct 2012, 11:07:
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of pollen grains diverging. Air sac<|endoftext|>Wednesday, March 11, 2009⏎rothbard on the utility of
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for Lord Krishna. Dwapara Yug<|endoftext|>Simple technique appears to be safe and effective, review suggests⏎By Robert Preidt⏎MONDAY, Oct. 15 (HealthDay News) -- A technique called the "mother's kiss
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
- L4:53 excites blank slot before a number
- L1:217 weakly suppresses
- L6:1158 weakly excites
- L0:1301 weakly suppresses
- L8:3 weakly excites
- L1:2629 weakly suppresses
- L0:1224 weakly suppresses
- L1:1973 weakly suppresses
- L1:741 weakly suppresses
- L0:178 weakly suppresses
- L10:26 weakly excites
- L2:1438 weakly suppresses
- L10:1081 weakly suppresses
- L4:2830 weakly excites
- L2:692 weakly suppresses
- L11:1954 weakly excites
- L4:2138 weakly excites
- L7:2330 weakly excites
- L3:1637 weakly suppresses
- L7:229 weakly excites first digit of a split number
- L8:1388 weakly excites
- L7:2188 weakly excites
- L4:445 weakly excites
- L5:1426 weakly suppresses
Feeds later layers
- L16:396 suppresses
- L18:377 suppresses number right after 'about' or 'less than'
- L17:15 excites
- L19:509 suppresses
- L18:1534 suppresses space between month and day number
- L16:256 suppresses number right after 'age of' or 'ages'
- L18:2578 suppresses
- L14:140 suppresses
- L18:76 suppresses blank spot before a number
- L16:723 excites
- L16:1044 suppresses
- L15:1072 suppresses
- L14:1111 suppresses
- L17:285 suppresses
- L20:489 suppresses
- L17:1125 excites
- L22:824 suppresses blank before an expected number
- L19:963 excites
- L19:26 excites
- L22:14 suppresses
- L20:4 suppresses
- L18:91 suppresses
- L20:344 suppresses hyphen inside compound words
- L25:30 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
- �
- iste
- OR
- useForm
- bank
- �
- liệu
- WARNING
- rep
- �
Suppresses
- agnost
- 工作任务
- atorial
- KHTML
- desired
- melon
- nyder
- :\\
- abcdef
- 的热情