the very first token '0'
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. 1 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 strongly on the number 0 when it is the very first thing in a piece of text, and the examples all look alike for that reason. Its other activations are weak and unclear. Turning it up or down produced garbled, code-like or repeated words, so it does not show a clear meaning.
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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0 largest GHG emitting industrial facilities reduced emissions by 5.6 MTCO
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0⏎network => 172.16.0.0/1
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0 devices 2^n ~= 25000 n = 15
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0-2011, the average number of icebergs to pass below
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017).⏎Approximately 65,000 individuals in the U
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013), USA Basketball has designed a practical, functional and sequential development model to
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:wwllll!mmmmllll0llww0..longghklmmHHiiww0wwmmHHmmHH-lllllllong!ll..usingHH0llllHHllll!HHllwwlong0
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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iness, breathing difficulties and vomiting.⏎In some cases, poisoning may result in marked psychological
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Diff Views⏎By default, GitKraken’s Git diff tool will display in H
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angled away from the Sun is still cast in dark shadow, but⏎because of the
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abnormal cells that grows out of control.⏎What is cancer? – Video⏎A short
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
- L0:178 strongly suppresses
- L0:1224 strongly suppresses
- L0:1301 strongly suppresses
- L0:2672 excites
- L0:660 excites
- L0:701 excites the digit 9 at a fragment start
- L0:2877 suppresses
- L0:2440 suppresses
- L0:2844 excites
- L0:1947 suppresses
- L0:1 suppresses
- L0:2242 excites
- L0:2425 excites
- L0:2644 suppresses
- L0:2639 excites unclear: weak hits on 'holiday' and 'playing', negative on 'Ada-fruit'
- L0:2972 excites
- L0:2582 suppresses
- L0:2415 suppresses
- L0:2293 excites
- L0:2536 excites
- L0:2483 suppresses
- L0:2583 suppresses
- L0:2416 excites
- L0:1780 suppresses
Feeds later layers
- L2:55 strongly excites
- L2:1489 strongly excites
- L2:128 strongly excites
- L2:646 strongly excites
- L2:321 strongly excites
- L2:46 strongly excites
- L2:666 strongly excites
- L2:2033 excites
- L2:1882 excites
- L27:2520 suppresses
- L23:10 excites
- L27:68 weakly suppresses
- L17:15 weakly excites
- L24:31 weakly excites
- L3:159 weakly suppresses
- L2:727 weakly suppresses
- L27:341 weakly suppresses
- L23:239 weakly suppresses
- L2:0 weakly excites
- L2:486 weakly excites
- L17:1184 weakly suppresses
- L24:39 weakly suppresses
- L25:2409 weakly suppresses
- L6:1353 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
- иков
- .imp
- обо
- вар
- _DLL
- proportions
- бу
- DM
- ич
Suppresses
- avigator
- 有大量的
- 塑
- 才知道
- -largest
- 开通
- 贿赂
- subscriber
- akens
- Official