unclear: split words and dimensions
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 a piece of a word that is cut into several parts, like 'trifoliate' or 'foliaceous', and on words that describe directions or shapes, like 'vertical' or 'leaves'. It goes strongly negative on measurements such as '3 x 3 x 3' or 'm2'. Turning it up didn't produce a clear theme in the writing.
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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twiggy bush, of fully a yard high. Leaves trifoliolate, clothed beneath with closely adpressed hairs, and bright yellow, somewhat
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- blue paper⏎- black paper⏎- pencil top eraser⏎The piece we selected to recreate was Van Gogh’s Starry Night. We’ve been learning about apples this week, an easy tie in was to
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UN committee asked the Australian Government to report back to it in detail in the<|endoftext|>Discover the words hidden in the grid, written through one another in eight horizontal, vertical and diagonal directions. Select words by clicking on the first and last letters, in
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first person to cover 4 pictures in a row (horizontal, vertical or diagonal). The winner calls out "Lotto!" or "Loteria
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level as below.⏎Size of QRcode is defined as version.⏎Version is from 1 to 40.⏎Version 1 is 21*21 matrix. And 4 modules increases whenever 1 version increases.⏎So version
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short lateral stems and then seemingly axillary)||Muellerina|⏎Back to 1⏎|3||Flowers in heads, enclosed in 2 enlarged foliaceous bracts fused at margins over buds during development||Diplatia|⏎
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 it, and I have to write it on the page, so I will do this on the page... the same way, so I will do this... the same way... the same... So I will do this
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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be loaded into your 3D printer. If it’s your first time using a 3D printer, consider starting with something relatively small (3” x 3” x 3”) so you can get comfortable with the 3D
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or effective dilution and removal of the gas. A release scenario showing a 10 g/s release of hydrogen inside a process container of 40 m2 is illustrated in figure 4. The calculations, carried out with the CFD
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. When students recognize that they need the lengths of the diagonal sides of the box give them the measurements for those sides (2.2 inches for the sides around the top and 6.4 inches for the sides
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of rock, usually about 0.03 mm thick, attached to a glass slide with an epoxy resin. Thin sections are usually about 26 x 46 mm, but there can be other sizes depending on what needs to be
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
- L8:1274 suppresses
- L8:1763 suppresses
- L8:690 excites
- L9:2109 excites
- L8:335 suppresses
- L7:1128 suppresses
- L8:2381 weakly excites
- L5:507 weakly excites
- L6:1548 weakly excites
- L9:2463 weakly excites
- L6:525 weakly suppresses
- L7:2981 weakly excites
- L6:2739 weakly excites
- L7:2926 weakly excites
- L6:1858 weakly excites
- L5:2793 weakly excites
- L3:1647 weakly excites
- L7:2587 weakly excites
- L6:729 weakly excites
- L6:2424 weakly suppresses
- L9:2335 weakly excites
- L8:2744 weakly excites
- L9:2048 weakly suppresses
- L6:2188 weakly suppresses
Feeds later layers
- L11:2654 suppresses
- L11:1777 suppresses
- L11:1878 suppresses
- L14:988 suppresses the word 'two' after 'the other'
- L13:564 suppresses
- L22:1502 suppresses
- L23:1098 weakly excites
- L23:2941 weakly suppresses
- L12:475 weakly suppresses
- L11:2478 weakly suppresses
- L13:1301 weakly suppresses
- L16:747 weakly excites
- L16:2200 weakly excites
- L16:808 weakly suppresses
- L12:1440 weakly excites
- L19:3059 weakly suppresses
- L12:1090 weakly excites
- L13:412 weakly excites
- L14:2834 weakly suppresses
- L20:660 weakly suppresses
- L16:2442 weakly excites
- L12:729 weakly suppresses
- L22:1053 weakly suppresses
- L14:929 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
- hos
- medic
- miss
- ZN
- caut
- 寺庙
- shove
- hosts
- hosts
- zf
Suppresses
- orizontal
- 行
- andra
- rowspan
- tml
- ssue
- 裤
- odelist
- ona
- -inline