'by' before a deadline
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. 20 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 the word 'by' when it sets a deadline, as in 'by 2050' or 'gone by summer'. Turning it down made the model repeat the word 'now' over and over, which fits the neuron pushing against that word.
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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⏎Cities are crucial to achieving the SDGs: more than half of the world’s population lives in cities, with this number predicted to increase to over two-thirds by 2050. Mapping out an implementation strategy for SDG 1
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well as a similar study did find that cats decl<|endoftext|>With the human population expected to grow by billions over the new few decades, the United Nations is predicting that by 2050 our food production must double
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measured in the metric tonne that are verifiable and tradeable. Bloomberg predicts that the price of carbon credits may rise by 3,000 percent by 2029 with better regulations.⏎The ever increasing demand for carbon credits
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not be surpassed by the end of the century. That level, they say, is 2 metres: sea levels are unlikely to rise more than 2 metres by 2100.⏎Setting an upper limit on how fast seas will rise
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future legislative action and planning.⏎Research included in the report suggests Hawaii will see nearly a one-meter rise in ocean levels by the end of this century. It predicts that more than 6,00
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ers Final Test Phase⏎The COVID-19 pandemic seemingly has no expiration date. At its onset, we thought there was a decent chance it would be gone by summer. Fast forward and we see more cases in the summer than we ever did
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: Now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now now
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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half.⏎- Starting and ending at the fold, make the first stroke of the number 2.⏎- Cut along the line.⏎- Unfold the paper.⏎- Use the same method to make more hearts. Use construction paper, gift wrapping paper
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. First the cardinal numbers. That's only one 3. This will remain. And then the numerators. 1 + 3 = 4. We then get the answer 345 Can we simplify? No, that's
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up to 1.⏎- Now select the ball, and go to the Physics tab. Also click ‘Rigid Body’ and leave the type as ‘Active’. We want this to simulate animation. Now change the bounciness to 1
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right, 256 units up). Now rotate it 90 degrees. We have now created the beginning and end of the 90 degree pipe.⏎Now, lets create the splines to
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
- L19:1807 suppresses
- L19:1756 suppresses
- L17:1255 excites
- L19:2475 suppresses
- L19:1750 suppresses
- L19:2161 suppresses
- L14:2875 suppresses
- L19:1687 suppresses
- L19:1072 weakly excites
- L7:2302 weakly excites
- L19:894 weakly suppresses
- L0:2864 weakly suppresses
- L19:1001 weakly suppresses "be" after will or you'll
- L8:1331 weakly excites
- L10:1481 weakly excites
- L14:2533 weakly suppresses
- L7:827 weakly suppresses
- L19:564 weakly excites
- L19:1394 weakly excites
- L18:2713 weakly suppresses
- L17:427 weakly excites
- L19:553 weakly excites
- L19:2536 weakly suppresses
- L2:2219 weakly suppresses
Feeds later layers
- L27:1163 strongly suppresses
- L21:1414 strongly suppresses
- L26:886 strongly suppresses
- L21:1093 suppresses
- L23:790 suppresses
- L22:1428 suppresses
- L24:2184 suppresses
- L23:1516 suppresses
- L21:2845 suppresses
- L22:2751 suppresses
- L21:2334 suppresses
- L23:2340 weakly suppresses
- L24:1932 weakly suppresses
- L25:740 weakly suppresses
- L23:565 weakly excites 'is' right after a name or subject
- L23:1189 weakly suppresses
- L24:1770 weakly suppresses
- L21:2807 weakly suppresses
- L21:2207 weakly suppresses
- L21:2125 weakly suppresses
- L27:1387 weakly suppresses
- L21:1153 weakly excites
- L22:1493 weakly suppresses
- L23:1177 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
- aña
- thereof
- akh
- else
- 透过
- 另外一个
- 的话
- eldo
- 反之
- 意义上的
Suppresses
- now
- now
- Now
- 现在
- Now
- -now
- →now
- (now
- ahora
- agora