'to' after a verb, before 'avoid'
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. 25 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' when it introduces a purpose, as in 'to avoid cross-contamination' or 'to reduce'. Turning it down made the text repeat the word 'avoid' over and over, which matches what it is about.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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causes baking soda to foam up. If stored in a closed container, the mixture can explode.⏎What should you not mix with vinegar?⏎3 Cleaning Products That You Should Not Mix With Vinegar⏎- Bleach And Vinegar. Bleach and
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ained soil.⏎- The seedlings should be placed 8 to 18 inches apart, depending on the variety. Ward off any flower while sowing, to redirect the plants' energy to the roots. This will ensure long-term health and
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liquidity. Without safeguards for liquidity in place, a "bank run" can incur, which any banking system wants to avoid at any cost.⏎Why it Matters:⏎Any entity which needs to generate and
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chicken. For example, if you are baking six breast pieces, each one might cook differently based on size. Don’t forget to clean your thermometer probe between readings to avoid cross-contamination.⏎Food or meat thermometers are fairly inexpensive, and will
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by:⏎- Cleaning your hands frequently using either soap and warm water or alcohol-based hand sanitizers,⏎- Covering your cough and sneezing into your arm to reduce
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quickly than we do when they feel danger.⏎Your horse may see that white bear, shaped like a bag, long before you do. So, he jumps sideways to get away from it. More than likely, he doesn’t think there is 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: avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid avoid
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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sticky substance known as honeydew. This, in turn, attracts sooty mold, which grows wherever the honeydew is present. If the mold infestation is heavy, it may block photosynthesis and kill the
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have a crush on someone: I used to have a massive crush on my geography teacher.⏎Is a crush love?⏎Crush is defined as a brief but intense infatuation for someone, especially someone inappropriate or unattainable. … Unlike
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, often asymmetric at the base, abruptly sharp-pointed at the tip, saw-toothed on the margins, and usually somewhat hairy beneath.⏎Flowers: Inflorescence of numerous, small flowers in a 4-10 cm
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which is relatively sparsely populated, before expanding elsewhere.) But wait, I ask him, not wanting to get taken in by the techno-optimism that infuses so much of what Google does these days: what are the chances this will
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
- L22:1806 strongly excites "to" introducing a purpose clause
- L22:2315 excites
- L22:3032 suppresses
- L21:1397 suppresses
- L19:2282 suppresses
- L23:872 suppresses
- L23:1503 suppresses
- L23:434 excites
- L22:1403 weakly suppresses
- L15:2177 weakly suppresses
- L9:146 weakly excites
- L2:75 weakly suppresses
- L22:530 weakly suppresses
- L20:2898 weakly suppresses
- L20:1018 weakly excites
- L18:3059 weakly suppresses
- L19:1343 weakly suppresses
- L24:385 weakly excites
- L21:2461 weakly suppresses
- L17:1187 weakly suppresses
- L1:2277 weakly excites
- L3:2078 weakly excites
- L21:1678 weakly suppresses
- L19:347 weakly excites
Feeds later layers
- L27:2185 suppresses
- L26:3012 weakly suppresses
- L26:2381 weakly suppresses
- L27:1591 weakly suppresses
- L26:408 weakly excites
- L26:438 weakly suppresses
- L26:1997 weakly suppresses
- L26:2662 weakly suppresses
- L27:2814 weakly suppresses
- L26:271 weakly suppresses
- L26:1055 weakly excites
- L27:1279 weakly suppresses
- L26:406 weakly suppresses
- L26:1454 weakly suppresses
- L27:1448 weakly excites
- L27:2800 weakly suppresses
- L27:790 weakly excites
- L27:203 weakly excites
- L26:2752 weakly excites
- L27:1137 weakly suppresses
- L27:2341 weakly suppresses
- L27:750 weakly excites
- L27:686 weakly excites
- L27:398 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
- всего
- NameValuePair
- ところで
- TestCase
- pez
- INA
- roe
- _tokenize
- ALK
- (criteria
Suppresses
- 避免
- avoid
- avoid
- avoided
- avoids
- avoiding
- Avoid
- Avoid
- avoidance
- 防止