'find' and 'found' after 'until' or 'if'
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. 23 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
This neuron fires on words that come right after a search or condition, like 'until you', 'is found', 'not found' or 'no citations found'. Turning it up made the model repeat the word 'found' 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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for your prefered location. Keep trying until you find the particular bulb that you like. If you do find the new bulb to
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If a DataTable name exists that matches the case of the search string, it is returned. Otherwise a case-insensitive search is performed, and if a DataTable name is found that matches this search, it is returned.⏎Use the Contains method to determine
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. Historically, the rash is mostly a problem for dogs and other small mammals. Very little data exists for treating the mites in humans. I was unable to confirm any data for the
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from the list or when it is typed in to the search box. The word that is typed in the search textbox is searched through the list. If it is found, the word will be selected in the list and its translation will
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analyzed.⏎sizet is an unsigned integral type.⏎A pointer to the first occurrence of value in the block of memory pointed by ptr.⏎If the value is not found, the function returns a null pointer.⏎In C, this function is only
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the instructions and requirements of your assignment.⏎Obviously, a good topic is an essential part of a good essay. Therefore, you need to consider many topics, until you pick the one that meets your area of expertise and interests. You may write 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: the way of a river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river river
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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are surrounded by an inert gas. A cross-section of these cases can be seen in the “Public Vaults,” along with a special documentary about the re-encasement process.⏎This brochure is made possible by the National Archives Foundation with the generous
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epidemic did come it mowed down thousands. The plague of 1348 was so inappeasable that it is said grave-diggers could hardly be found to bury the dead
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. When your mouth hurts from ill-fitting dentures or from wearing them continually, the discomfort you feel in your gums can make the thought of chewing food unappealing.⏎Additionally, certain health
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that program in memory, we can better understand the difference between a program and a process. Although these two terms are often interchanged or even misused in “casual” conversation, the difference
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
- L21:2758 weakly excites
- L20:62 weakly suppresses
- L22:2543 weakly excites
- L18:3068 weakly suppresses
- L21:2752 weakly suppresses
- L18:2988 weakly suppresses
- L0:941 weakly suppresses
- L20:592 weakly excites
- L2:2885 weakly suppresses
- L21:1889 weakly excites
- L20:53 weakly excites
- L20:243 weakly excites
- L22:942 weakly excites
- L21:2415 weakly suppresses
- L0:41 weakly excites
- L11:611 weakly excites
- L6:2088 weakly suppresses
- L15:2135 weakly excites
- L0:230 weakly suppresses
- L21:1619 weakly suppresses
- L16:2133 weakly suppresses
- L18:2814 weakly excites
- L11:696 weakly suppresses
- L15:2589 weakly suppresses
Feeds later layers
- L27:1284 strongly excites
- L26:1422 excites
- L25:2811 excites
- L27:2444 excites
- L24:1884 weakly excites
- L24:3071 weakly suppresses
- L25:928 weakly excites
- L25:781 weakly excites
- L27:2730 weakly excites
- L24:1879 weakly excites
- L27:1532 weakly excites
- L25:1328 weakly excites
- L24:2721 weakly excites
- L24:2152 weakly excites
- L26:2203 weakly excites
- L26:739 weakly suppresses
- L24:2792 weakly suppresses
- L25:644 weakly excites
- L27:2060 weakly excites
- L25:951 weakly excites
- L24:654 weakly suppresses
- L25:1763 weakly excites
- L25:2622 weakly excites
- L25:258 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
- found
- find
- find
- found
- finding
- 找到
- finds
- (found
- (find
- Find
Suppresses
- mare
- Stick
- .getWindow
- osos
- osas
- CompleteListener
- thew
- ross
- spreading
- してきた