unclear: token just before a k sound
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. 27 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
The neuron is hard to pin down. Its strongest moments come just before a k sound, such as the word before a k in a formula or the start of a word like karmas. Turning it down made the model repeat the letter k over and over.
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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(9/10)k-2, where k is the number of digits of 2n. The number of digits can
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to “zero out” the data blocks. To do so, do one of the following:⏎Use the metainit command with the -k option. The -k option recreates the RAID 5 volume without initializing it, and sets the
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V and generally applied up to and including 52 kV . For technical and economic reasons, the service voltage of medium voltage distribution networks rarely exceeds 35 kV.⏎In this chapter, networks which operate at 1000
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alternatives are:⏎- Does one karma produce one birth?⏎- Does one karma cause several births?⏎- Do several karmas result in several births?⏎- Do several karmas give rise to only one birth?⏎There are many karmas
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How Many Teeth Do Koi Have?⏎The exact number of teeth which a koi carp has depends on its sub-species as well as on the age of the fish. Therefore, it is impossible to answer this
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) where they proved that a(n) is not more than the smallest number k such that the total number of ones in the binary expansion of numbers from 1 to k is at least n − 1. Which means they proved that a(
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: k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k k
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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grandchildren of the ones stayed behind. The interesting story of The First Turks in America will be immortalized at a museum to be established in Turkey.⏎THE FIRST TURKS IN AMERICA⏎1893, the 400th
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so loud 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
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bodies buried underneath earthquake rubble, or to land a spacecraft on low-gravity asteroids, or - as the Army suggests - to sneak inside buildings where enemy combatants lurk," notes the SFGate.⏎Stanford robotics engineer Mark Cutkosky
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the internet. Either they can’t afford a connection, or none exists where they live. Of all the efforts to bring those people online, Google’s “Project Loon” sounds the most far-fetched.⏎When the search company announced in June
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
- L25:496 strongly excites
- L26:425 strongly suppresses
- L23:1921 strongly excites
- L26:2092 strongly suppresses
- L22:1091 strongly excites
- L25:2346 strongly excites
- L21:1687 excites
- L23:2502 suppresses
- L26:2146 suppresses
- L24:1152 suppresses
- L23:1724 suppresses
- L26:1564 excites
- L26:2282 suppresses
- L22:918 suppresses
- L21:145 excites
- L24:2191 excites
- L24:1479 excites
- L24:548 suppresses
- L22:991 suppresses
- L16:619 suppresses
- L22:2136 suppresses
- L22:742 suppresses
- L18:569 excites
- L22:978 weakly excites
Feeds later layers
None: this is the last layer.
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
- änn
- 彤
- Tac
- 封
- apur
- entr
- 指尖
- TextLabel
- enas
- 嵴
Suppresses
- k
- k
- *k
- (k
- _k
- $k
- =k
- <k
- K
- K