blank slot right before a number
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. 8 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 an empty spot in the text where a number is about to follow, such as the gap before '3', '100' or '566' in a sentence that has had its number removed. Turning it up did not produce any clear theme in the model's 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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is manmade ruby consisting of aluminum oxide and 0.05% chromium. Crystal rods are round and end surfaces are made reflective.⏎A laser rod for 3<|endoftext|>Summary Report for:⏎51-8099.03
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after Filipino rebels seized control of a remote section of Malaysia’s Sabah state as part of an unresolved territorial dispute that stretches back centuries. Malaysian security forces have surrounded 100 to 200 members of the Royal Army of Sulu
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of transplants has barely gone up. So this is now a public health crisis.⏎Surgeon and Professor of Urology⏎Over the past decade, 3D printing has garnered considerable attention due to its broad applications, its ease of
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lengthy work experience in space. As part of three space missions, he has spent 566 hours away from his home planet, and 36 of these
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⏎- "The First Men In The Moon"⏎- 'Star Trek: The Next Generation' - "Rascals"⏎- 'Warehouse 13' - "Time Will Tell"<|endoftext|>I question why "pres"
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heat resisting steels.304 stainless plate offers good corrosion resistance to many chemical corrodents as well as industrial atmospheres and marine environments Typical specifications for 304 Plate and 304L Stainless Steel Plate are ASTM 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: I need to be careful not to do something. I have been thinking about lately:... I need to be careful not to do something. : Let's think about it...: I need to be careful not to do something.
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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) is used; it indicates that God would make Pharaoh’s will strong or firm.⏎2 tn The form is וְאִכָּב
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become so accustomed to use it in such cases as the above that the meaning is always clear, yet we cannot find a word that it stands for. The antecedent of it cannot be determined.⏎Verbs used with it in such cases are
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skiy, 1980, p. 88] or ﺭﺎﻬﺑ bihār [Hudūd al-‘
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יֵּןand its noun form ביון.⏎So what do לבייןand
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
- L6:0 excites
- L1:108 suppresses
- L0:324 suppresses
- L3:69 excites
- L5:34 excites
- L4:53 excites blank slot before a number
- L6:602 weakly excites
- L1:1 weakly excites
- L4:154 weakly suppresses
- L0:602 weakly excites words right before a number
- L5:28 weakly excites
- L5:235 weakly suppresses
- L5:1813 weakly excites
- L4:669 weakly suppresses
- L0:1034 weakly excites
- L5:1381 weakly suppresses
- L7:193 weakly suppresses space before day after month
- L0:2098 weakly excites
- L4:1243 weakly suppresses
- L1:1464 weakly excites
- L2:987 weakly suppresses
- L3:2107 weakly excites
- L6:2320 weakly excites
- L0:1701 weakly suppresses
Feeds later layers
- L17:359 excites
- L15:638 excites "the" inside institution names
- L14:191 excites blank spot before a run-on number
- L14:741 suppresses
- L10:533 suppresses
- L18:318 suppresses
- L14:134 excites spot right before a citation year
- L10:77 excites
- L15:716 excites
- L10:791 excites
- L15:2021 excites
- L25:118 excites
- L9:669 suppresses
- L10:29 excites
- L13:72 suppresses
- L13:1512 suppresses
- L15:123 excites
- L9:61 excites
- L23:35 excites
- L27:283 weakly excites the spot right before a number
- L22:424 weakly excites
- L9:648 weakly suppresses
- L9:119 weakly excites
- L13:27 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
- рю
- IRON
- ู่
- /fontawesome
- ohen
- [res
- gains
- odon
- under
- :hidden
Suppresses
- ๆ
- ๆ
- build
- ssue
- namese
- pedig
- 栀
- pkg
- 焰
- ary