'to' after 'respond' or 'reply'
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. 5 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 'to' right after words like 'respond', 'reply' or 'responding'. Turning it up produced unrelated text, so the link to the trigger is only visible in the examples.
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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you’ll ever do… IF you unplug or kill power to range first. One is a blue wire that leads to the upper heating element. You cannot reply to topics in this forum. A good idea is to place a little spray bottle soap
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<|endoftext|>The brain excels at making predictions and clarifying confusion, thanks to a network of billions of cells called neurons. This vast network enables your brain to respond to the unexpected or the unclear. This includes solving puzzles, such as those below,
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.⏎With an increase of at least 1.5C unavoidable, all of humanity will need to adapt quickly to respond to the increase in extreme weather, disasters and humanitarian crises that will occur over the next
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ews this empirical approach. Twelve scholars of Hinduism three of them practicing Hindus attempt to answer this question by methodical analysis. None can be said to successfully respond to the question, but their analysis is a revealing
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the goal of therapy and especially mindfulness. Relaxation and happiness are not the aim, but rather a "freedom from the tendency to get drawn into automatic reactions to thoughts, feelings, and events" . Patients change the relationship to chronic pain so
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. Most people don’t know they have it’or that the ‘wrong’ kinds of carbs contribute to it.⏎Insulin resistance occurs when the body stops responding to this critical hormone. Think of insulin as a kind of doorman. Normally,
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 been thinking about the old time, and I have been thinking about the old time. I have been thinking about the old time. I have been thinking about the old time. I have been thinking about the old time. I have
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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reported notable decreases in psychological distress, depression, anxiety, and trauma-related symptoms such as disturbing memories, physical reactions, and difficulty concentrating. Interestingly, their self-compassion ratings also decreased.⏎The findings of the study are encouraging given the small number
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or during a seizure.⏎This information can then be used by the system to identify and predict situations in which patients may find themselves at greater risk, and warn them to take preventative action.⏎“This project is about finding completely new ways of treating epilepsy by
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.⏎There haven't yet been any reports of fungal infection in patients who got joint injections of the NECC steroids. Even so, the CDC is warning such patients to be on the lookout for symptoms of fungal infection:⏎Patients who
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written order to Lord Lucan to charge the Russians with the light brigade of cavalry commanded by Lord Cardigan, and
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
- L4:2119 weakly excites
- L1:544 weakly suppresses
- L4:2536 weakly excites
- L4:2740 weakly suppresses
- L4:2505 weakly suppresses
- L4:1500 weakly suppresses
- L4:328 weakly suppresses 'to' after 'so as' and infinitive cues
- L3:1502 weakly suppresses
- L1:906 weakly suppresses
- L0:525 weakly excites
- L2:78 weakly suppresses
- L3:3021 weakly suppresses
- L2:2570 weakly excites
- L3:1257 weakly excites
- L4:3051 weakly excites
- L4:869 weakly excites
- L2:2970 weakly excites
- L0:1483 weakly excites
- L4:2383 weakly excites
- L3:1937 weakly excites
- L4:1615 weakly excites
- L4:3010 weakly excites
- L2:542 weakly suppresses
- L4:2733 weakly excites
Feeds later layers
- L10:788 suppresses
- L10:508 suppresses
- L18:1748 weakly suppresses
- L12:1947 weakly excites
- L20:507 weakly excites
- L10:3050 weakly suppresses
- L20:770 weakly excites
- L6:564 weakly excites
- L11:2408 weakly excites
- L20:1435 weakly excites
- L10:1436 weakly excites
- L19:391 weakly excites
- L11:1492 weakly excites
- L26:908 weakly excites
- L9:2007 weakly excites
- L8:1463 weakly suppresses
- L17:3062 weakly excites
- L6:2089 weakly excites
- L13:1612 weakly suppresses
- L16:2515 weakly excites
- L23:2752 weakly excites
- L19:1574 weakly suppresses
- L10:706 weakly excites
- L25:59 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
- illation
- aille
- uario
- veillance
- ebile
- response
- ennen
- 三种职业
- synthesize
- igenous
Suppresses
- 間
- stück
- stry
- cmc
- 搅拌
- 湿润
- 单位
- ляр
- 间
- 幹