everyday objects and animals, mid-word
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. 10 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 the middle of words naming everyday things and animals, such as oatmeal, beans, pigeons, foxes and geese, especially in lists of materials or examples. The steering text showed no clear link to this theme.
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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1 recycled egg carton⏎- 12 plastic easter eggs⏎- 6 different items for sounds⏎We used: sea salt, steel cut oatmeal, paper clips, almonds, google eyes, beads⏎Other options: marble
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sculptures. Radial symmetry is when the parts radiate from a central point.⏎Create your own outdoor sculpture using simple materials you find in the world around you. Rocks, leaves, sticks all work great! Be respectful of anything already blooming or
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teacher, or the players can take turns picking a card), and if a player has that picture on their board, they cover it with a penny or a dried bean. The winner is the
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whether the pigeons were learning to distinguish words from non-words rather than merely memorising them, the researchers introduced words the birds had never seen before.⏎The pigeons correctly identified the new words as words at a rate significantly above chance.⏎According
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birds of the sky have nests, but the Son of Man has no place to lay His head.”⏎New American Standard BibleAnd Jesus said to him, "The foxes have holes and the birds of the air [have] nests, but the
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. A dollar bill. A raisin. A stick of gum.⏎These are all everyday objects that weigh, give or
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 this: "I have been thinking about this..." So I have been thinking about this: "I am" and I have been thinking about this: "I have been thinking about this...". Now I have been
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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that is transmitted.⏎There are two different types of Low E coatings: passive Low E coatings and solar control Low E coatings.⏎The simplest way to see if your windows haveLow E glass is to hold a lit flame (match, lighter) next
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it is fainter, and partly because its shape is not nearly so dipper-like as its larger counterpart.⏎So here it is! The Little Dipper! The North Star, Polaris, marks the end of its handle.⏎Written
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it limits the amount of light that can get in. The lens of the eye is normally transparent. When it becomes cloudy, the light can’t properly pass through
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In comparison with a moderately sized telescope, say 60mm, said telescope harvest 70 times more light than your naked eye!⏎When you upgrade your telescope for one with a bigger aperture, you may expect the images you see through your
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
- L9:1418 suppresses
- L8:1797 excites
- L9:1457 suppresses
- L7:739 excites
- L7:339 suppresses
- L6:501 excites
- L9:2080 suppresses
- L6:452 excites
- L7:372 excites
- L5:2282 excites
- L7:716 excites
- L9:611 suppresses
- L2:1245 suppresses
- L8:2732 weakly suppresses
- L7:529 weakly suppresses
- L9:1726 weakly suppresses
- L7:1211 weakly suppresses
- L9:1767 weakly excites
- L9:566 weakly suppresses
- L7:504 weakly excites
- L9:2510 weakly suppresses
- L5:2483 weakly excites
- L9:953 weakly excites
- L6:130 weakly suppresses
Feeds later layers
- L12:2201 excites
- L11:1486 excites
- L17:1319 excites
- L14:1969 excites
- L12:534 excites
- L15:534 suppresses
- L11:745 excites
- L11:1461 excites
- L12:2641 excites
- L17:491 excites
- L13:1299 excites
- L11:259 excites
- L19:1460 excites
- L11:1727 excites
- L13:1732 suppresses
- L12:1738 excites
- L12:834 suppresses
- L12:365 suppresses
- L15:2103 suppresses
- L12:314 suppresses
- L12:1944 excites
- L11:2939 excites
- L13:291 weakly excites
- L13:2636 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
- bo
- matic
- tr
- bur
- bl
- bo
- INARY
- ilibrium
- 会
- kl
Suppresses
- оля
- condol
- acing
- cedes
- 做到了
- anga
- aces
- 不足以
- 센
- 版权归原