unclear: spot just before a number
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 seems to switch on in the gap right before a number, like a year, a count or a figure, but the pattern is loose and not very clear. Turning it up made the text wander with no clear topic.
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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—makes up less than one-half of 1 percent of what’s out there. Most of the universe is unseen and unidentified
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protected by copyright law. (C) 1998-2015 Sparx Systems Pty Ltd.<|endoftext|>
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ivut||678 - 687|⏎|Julkaisu||JOURNAL OF LANGUAGE TEACH
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infamous misnomer celebrated by the writer Franz Kafka who described a lawyer as 'a person who writes a 10,000 word document and calls it a brief.'⏎A brief
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Next when you are done.⏎[Update: 3/21/2009] If you are interested in setting
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election, incumbent Clark had a 30 percentage-point lead in campaign polls, but he lost to Republican Roger J
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 need to be able to make a certain decision to be a member of the team. So I have to have to have to be a member of the team. So I need to be a member of the team. I need 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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2002. Pro-poor Markets for Environmental Services Carbon Sequestration and Watershed Protection. Nature Conservancy. http://biodiversityeconom ics.org/incentives/020828-01.htm
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of analyzing. You are expected to demonstrate your ability to write a history paper and your understanding of the proper material concerning the period of history, when the World War 2 took place.⏎Before you actually start writing your essay
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Figure 1. Note that never takes on the same value twice (any two inputs in have different outputs), whereas does take on the same value twice (both 2 and 3 have the same output, 4). In symbols, but
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country, in every age.⏎READ ON BELOW…Don’t Sneer at Truth, Beauty and Goodness — You Were Made for Such<|endoftext|>Essay about World War 2 is quite a common deal for history classes. It helps students better understand the
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
- L2:2665 weakly excites
- L3:1902 weakly excites
- L0:178 weakly suppresses
- L0:1224 weakly suppresses
- L2:483 weakly suppresses
- L0:1301 weakly suppresses
- L2:1306 weakly excites
- L3:50 weakly excites
- L0:2844 weakly excites
- L2:75 weakly suppresses
- L3:2991 weakly excites
- L2:49 weakly suppresses
- L0:2963 weakly excites
- L0:1101 weakly suppresses
- L3:272 weakly excites
- L3:512 weakly suppresses
- L3:2976 weakly suppresses
- L0:867 weakly suppresses
- L0:563 weakly excites 'www' in web addresses
- L0:1895 weakly excites
- L3:1143 weakly excites
- L1:2444 weakly suppresses
- L3:157 weakly suppresses
- L1:1609 weakly excites
Feeds later layers
- L6:344 strongly suppresses
- L20:2907 strongly suppresses
- L19:981 strongly excites
- L5:2539 strongly excites
- L19:763 strongly excites
- L17:15 excites
- L16:723 excites
- L16:1421 suppresses
- L22:16 excites comma in dates and birth lines
- L14:309 excites
- L14:140 suppresses
- L6:42 excites
- L27:33 suppresses
- L26:21 excites
- L25:30 suppresses
- L18:76 suppresses blank spot before a number
- L10:177 excites
- L20:59 suppresses
- L22:14 suppresses
- L24:39 suppresses
- L18:91 suppresses
- L27:126 suppresses
- L22:424 suppresses
- L27:85 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
- ex
- relatives
- sun
- original
- ban
- Sun
- ibraries
- contribute
- �
- out
Suppresses
- woke
- encion
- declar
- ẵ
- [".
- 发生
- ('_
- ớ
- ceği
- ída