unclear: line breaks and list dashes
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 fairly consistent: several of them 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 reacts to line breaks and list markers in messy web text, like the start of a new line in a bibliographic record or a dash starting a bullet. The examples don't share a clear meaning. Turning it up gave loose, repetitive text that didn't clearly relate to the neuron's triggers.
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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conservation area.⏎Neil burn Drive was created.⏎Canmore place was erected.<|endoftext|>ERIC Number: ED379961⏎Record Type: RIE⏎Publication Date: 19
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and find out how you can connect with other literacy professionals.⏎Teacher Resources by Grade⏎|1st - 2nd||3rd - 4th|⏎|5th - 6th||7th - 8th|⏎|9
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:⏎- establish a Hunger-Free Task Force;⏎- designate staff to connect eligible students with the
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:⏎- Rabbits are herbivores which mean they only eat plants.⏎- Bunn
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:⏎- Vitamin E (α-tocopherol)⏎- Causes and Risks for Vitamin
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:⏎- Interpersonal, project management, risk management and time management skills.⏎- Software development
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 Great Gatsby," I can't even begin to imagine the scope of what's going on in this nation's political turmoil, and the National Socialist, Germany, and defeated state of Washington in a country that lost the war to the
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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string, as well as the number of characters in the string variable⏎>>> len("a string") 8 >>> >>> s = "a long string" >>> >>> len(s) 13 >>> >>> len("") 0 >>>⏎>>> >>>
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5 volume without having to “zero out” the data blocks. To do so, do one of the following:⏎Use the metainit command with the -k option. The -k option recreates the RAID 5 volume without initializing
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Standard▼▲⏎- Grade Level▼▲⏎- Media Type▼▲⏎- Guides & Workbooks▼▲⏎- Author / Artist▼▲⏎- Top Rated▼▲⏎Guide
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to close the dialog|⏎|·||Is used in more than one diagram, the Element Usage dialog displays listing
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
- L9:542 weakly excites
- L4:194 weakly suppresses
- L9:936 weakly suppresses
- L5:47 weakly excites
- L8:16 weakly suppresses
- L8:14 weakly excites
- L7:2971 weakly suppresses
- L4:183 weakly excites
- L4:1950 weakly excites
- L8:10 weakly excites
- L5:238 weakly excites
- L7:841 weakly suppresses
- L2:1351 weakly excites
- L5:1289 weakly excites
- L4:729 weakly excites
- L1:1122 weakly excites
- L2:1319 weakly excites
- L9:2061 weakly suppresses
- L1:2687 weakly suppresses
- L5:1270 weakly suppresses
- L5:1993 weakly excites
- L0:907 weakly excites
- L7:1650 weakly excites
- L7:303 weakly suppresses
Feeds later layers
- L12:1144 excites
- L11:2434 weakly excites
- L13:2771 weakly excites
- L14:2019 weakly suppresses
- L11:1093 weakly excites
- L22:1463 weakly excites
- L13:1572 weakly suppresses
- L22:2621 weakly excites
- L23:1295 weakly excites
- L17:1949 weakly suppresses
- L19:1537 weakly excites
- L25:2589 weakly suppresses
- L18:2213 weakly excites
- L16:1809 weakly suppresses comma inside a list of names or acronyms
- L20:288 weakly suppresses
- L24:11 weakly suppresses
- L19:1422 weakly excites
- L11:2947 weakly excites
- L12:678 weakly excites
- L14:2521 weakly excites
- L20:615 weakly excites
- L15:2270 weakly excites
- L12:555 weakly suppresses
- L24:1796 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
- very
- tó
- ыта
- ⏎⏎⏎
- remely
- ⏎⏎⏎⏎
- зависимости
- струк
- ragment
- atives
Suppresses
- oproject
- RIA
- cuenta
- erta
- cratch
- 打入
- isme
- gå
- ollapsed
- 兴旺