line break inside wrapped text
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. 15 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 line break that splits a sentence in the middle, the kind found in emails, forum replies and text that was wrapped to a fixed width. Turning it down made the model produce list-like lines, and turning it up gave loose, repetitive prose.
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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22:12:37, Russ Abbott wrote:⏎> Cool. I wasn't aware of that notation. It doesn't quite get to the⏎> issue though.⏎> The problem I'm concerned about is the need to define
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, and there may be nothing about var11 . var1 $ x that⏎> changed, etc. Yet one is apparently forced to keep track of and⏎> reconstruct all those elements.⏎The compiler takes care of that.⏎> Another example
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set in motion,<|endoftext|>The Edgar Cayce health information is a rich source of research hypotheses⏎with regard to anatomy, physiology, pathology, and therapy. This⏎section contains a variety of research hypotheses waiting to be pursued.⏎If you have expertise
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http://en.wikipedia.org/wiki/Analysis_of_algorithms)⏎> 1 get a positive integer from input⏎> 2 if n> 10⏎> 3 print "This might take a while..."⏎> 4 for i =
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is a moveable point on the hypotenuse, and P and Q are the feet⏎of the perpendiculars from X to the sides of a right angled⏎triangle. What position of X makes the length of PQ a minimum?⏎The circum
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early through its center; by Mad and White Rivers; and by Lake Champlain,⏎which affords it many navigable privileges. The soil is good, particularly⏎in those towns below the mountains, and bordering the lake<|endoftext|>“ The L
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: 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 1) the possible 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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times of several years. The total energy radiated in a superburst is 1042 erg. Superbursts<|endoftext|>Kang, T-J. (2018) Online learning in North Korea The Diplomat, May
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conuts and banana leaves<|endoftext|>const void * memchr ( const void * ptr, int value, size_t num );⏎void * memchr ( void * ptr,
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Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.⏎The copyright and license notices on this
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0.1016/j.jbusres.2013.10.001⏎BERISHA-NAMANI, M. (2013). Information technology, internet, and marketing. International Journal of
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
- L14:56 suppresses document ends and list line breaks
- L13:826 suppresses
- L11:313 weakly excites
- L6:1038 weakly excites
- L14:67 weakly suppresses
- L3:377 weakly suppresses
- L12:438 weakly excites
- L12:2168 weakly excites
- L14:907 weakly suppresses
- L6:351 weakly excites
- L1:1803 weakly suppresses
- L1:982 weakly excites
- L1:242 weakly excites
- L11:2647 weakly suppresses
- L9:1158 weakly suppresses
- L14:287 weakly suppresses
- L4:19 weakly suppresses
- L10:708 weakly suppresses
- L9:2997 weakly excites
- L8:1687 weakly excites
- L9:437 weakly suppresses
- L4:97 weakly suppresses
- L5:238 weakly excites
- L3:1149 weakly excites
Feeds later layers
- L16:2583 suppresses
- L26:757 suppresses
- L22:377 suppresses
- L20:268 suppresses
- L25:533 suppresses first letter m or oct fragments
- L16:442 excites
- L26:758 suppresses
- L16:795 suppresses
- L16:317 suppresses
- L18:795 weakly suppresses
- L27:947 weakly suppresses
- L26:749 weakly suppresses
- L17:2260 weakly suppresses
- L21:1164 weakly suppresses
- L24:1619 weakly suppresses
- L20:210 weakly suppresses
- L25:542 weakly suppresses
- L18:572 weakly suppresses
- L19:1069 weakly excites
- L20:720 weakly suppresses
- L25:673 weakly suppresses
- L23:337 weakly suppresses
- L27:1681 weakly suppresses
- L19:558 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
- arding
- anas
- ями
- Islanders
- concentrating
- 籽
- sl
- ids
- ��
- 一字
Suppresses
- ,⏎
- ,⏎
- [],⏎
- ::⏎
- ,⏎
- (⏎
- ipherals
- gres
- relude
- ::⏎