year after a month and day
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. 17 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 responds weakly to the year in a written date, such as the 2021 in "August 13, 2021." It also has a weak opposite side on brackets in measurements. Turning it up or down gave text that did not seem to be about dates.
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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years. This is because the photons have to travel about twice the distance from the Earth to the Moon to<|endoftext|>Posted by Admin on August, 13, 2021⏎Every flame possesses some specific characteristics in general. They produce
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Thompson Chalkboard Paper Kit. Fonts used: school script dashed, Rudiment and Homemade Apple.⏎Posted by Craftyminx on October 12, 2011 at
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3.0604 / 3°3'37"W⏎OS Eastings: 328136⏎OS Northings: 291451⏎OS
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B) hypertonic C) hypotonic D) none of these I think it's B. I'm not too sure though.⏎November 27, 2007<|endoftext|>Hopefully your child will not experience at first hand the impact
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.codeguru.com/algorithms/factorial.shtml I don't happen to think that the code there is easily understandable though...⏎January 10th, 2004 01:32 AM⏎Tim_axe,
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lock (During the 1834 Coorg Campaign)". www.archerfamily.org.uk. Archer Family. Archived from the original on 13 November 2013. Retrieved 13 November 2013.⏎
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 other way that I could be used as a "solicitor" or as a "solicent" – as the "solicent" in the other way – as a "solicent" by the other way,
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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|Dimensions||H: 11 1/16 in. (28.2 cm.), W: 8 7/8 in. (22.5 cm.)|⏎|Location||Alte Pinakothek
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Business District as seen from the top of the Carlton Centre⏎|Municipality||City of Johannesburg|⏎|• Total||1.09 km2 (0.42 sq mi)|⏎|• Density||13,000
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Weber River|⏎|• Total||659 sq mi (1,710 km2)|⏎|• Land||576 sq mi (1,490 km2)|⏎|• Water||83 sq
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ika 316 U.S. 584 (1942) and 319 U.S. 103 (1943) raised important issues regarding free exercise of religion. In the first Jones
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
- L10:36 excites
- L16:80 suppresses
- L15:20 weakly excites
- L14:2228 weakly excites
- L4:568 weakly excites
- L14:835 weakly excites
- L1:288 weakly suppresses
- L10:804 weakly suppresses
- L13:1411 weakly excites
- L13:2086 weakly excites
- L14:2182 weakly suppresses
- L8:91 weakly suppresses
- L15:32 weakly suppresses
- L15:41 weakly excites
- L8:1331 weakly excites
- L15:2215 weakly excites
- L1:2415 weakly excites
- L16:1607 weakly excites
- L11:1725 weakly excites
- L14:1288 weakly excites
- L6:1041 weakly excites
- L5:3042 weakly suppresses
- L15:653 weakly suppresses
- L3:2310 weakly suppresses
Feeds later layers
- L19:964 weakly excites
- L20:1998 weakly excites
- L18:1514 weakly suppresses
- L18:2826 weakly excites
- L22:2629 weakly excites
- L19:2051 weakly excites
- L23:370 weakly excites
- L19:2160 weakly excites
- L19:1458 weakly excites
- L23:1317 weakly excites
- L19:207 weakly suppresses
- L18:2951 weakly excites
- L18:2530 weakly suppresses
- L21:2338 weakly suppresses
- L21:1101 weakly excites
- L20:893 weakly excites
- L20:2648 weakly suppresses
- L27:2735 weakly excites
- L22:2421 weakly suppresses
- L19:1657 weakly excites
- L21:2068 weakly excites
- L20:2786 weakly excites
- L19:571 weakly excites
- L19:1844 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
- ycles
- -even
- even
- telegram
- 闳
- Even
- igr
- antino
- gue
- avings
Suppresses
- upon
- ")));⏎
- atoire
- onn
- adar
- erh
- 梅州
- oug
- RLF
- ")));