space after a dash in number ranges
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. 0 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 lights up on the space right after a dash or plus sign that joins two numbers or dates, such as '1907 - 1954' or 'Published - 2014'. Turning it up made the model output long strings of zeros and repeated numbers.
Written by Claude from this neuron's activations and steering outputs. Confidence: medium. 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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Trial (19 April - 22 December 1947)⏎- The IG Farben Trial (
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is expected to increase, which is a growing public health concern.⏎|Status||Published - 2014 jan. 1|⏎- Folkhälsovetens
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||173|⏎|ISBN (Print)||9 781742 589985|⏎|Publication status||Published - 2015|<|endoftext|>writing essay shiz⏎Word count: 3
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in highly trained racehorses.⏎|Number of pages||7|⏎|Journal||Veterinarija ir Zootechnika|⏎|Publication status||Published - 17 Oct 2008|⏎- age-related changes⏎- equ
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lo?⏎Frida Kahlo (1907 - 1954) was a Mexican artist born in 1907
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different card types in this set:⏎64 Question Card + 16 Playing Cards)⏎- Wh Question Cards (Christmas theme)⏎- What am
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 the past, the present, and the future. I have been thinking about the past, the present, and the future. I have been thinking about the past, the present, and the future. 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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to the animals.⏎In the last quarter ofthe 20th century, maize replaced sorghum as the most important cereal
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(S.W.), the New England Confederation and the Fur Trade Dutch/French (N.Y. &N.F.) is the third supporting idea. * Amerindians forced to do unpaid
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majesty.⏎The third division (verses 1Ch 16:34-36 ) is a quotation of the opening and closing sentences ofPsalms 106:1-48; Psal
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5 Y 2 . Solution : X =- 5 W c) Find some solution of A X = 3 Y
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
None: this is the first layer.
Feeds later layers
- L2:501 suppresses
- L15:2245 weakly suppresses spot right before a number
- L18:99 weakly suppresses
- L26:1864 weakly excites
- L19:1982 weakly excites
- L4:2933 weakly excites
- L10:2853 weakly suppresses
- L14:1273 weakly suppresses
- L27:416 weakly excites
- L7:1939 weakly excites
- L2:63 weakly excites
- L10:2066 weakly suppresses
- L11:1477 weakly suppresses
- L5:1252 weakly excites
- L12:1307 weakly suppresses
- L3:1340 weakly suppresses
- L9:21 weakly suppresses
- L15:2847 weakly excites
- L13:1097 weakly excites
- L9:1354 weakly excites
- L25:1827 weakly suppresses
- L13:2309 weakly excites
- L27:463 weakly excites
- L9:403 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
- пит
- :host
- mixing
- mixes
- iddles
- wave
- ㄇ
- 广泛应用
- queeze
- waves
Suppresses
- avors
- Larson
- bih
- away
- even
- itore
- lander
- ту
- ivant
- atie