comma after 'who' or 'which'
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
The neuron wakes up on the comma that comes right after words like 'who' or 'which' when they start a side clause, such as 'a role model is someone who, through hard work,'. Turning it up made the model's writing drift into unrelated topics, so the steering results do not show a clear link to this pattern.
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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the offspring which the LORD will give you by this young woman." (Ruth 4:12).⏎There are certain passages of Scripture which, when you read them, seem out of place with the passages that surround it.
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. Think of a world where you could selectively download your life’s memories- sights, sounds, experiences- onto a Blue-ray to show your grandkids (who, by that time, will have something better than Blue-rays). Imagine being able to
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and/or less comfortable expressing themselves via words. Art Therapy is also known to help people with social skills, specifically, those that are withdrawn or shy, or who, for one reason or another, have a difficult time functioning within social situations.⏎Why
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cards over three rounds, each new round begins after seven cards have been won. This is accomplished by translating cards in both languages. The winner is the player who, in the final round, translates all of the played cards error-free.⏎Novices
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happens when preparation meets opportunity.⏎10. If suitable role models are not nearby, I will seek them out.⏎11. A role model is someone who, through hard work and a positive outlook<|endoftext|>Peace Officers' mourning ribbon⏎The loop
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surcharged with the inspiration of heroism. So the bow was the natural weapon of the simple, perfect physical manhood represented in the idea of Apollo, who, with drawn bow, was the symbol of such manhood displayed in its highest powers
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 Ukrainian president, Viktor Yanukovych, in the black and red flag state of Kyiv, which has a population of 2.4 million, and the population of the Republic of Crimea, which is 4.5 million
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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the morning of June 28. However, with the atmosphere so dry, the rain associated with the storms evaporated before ever touching the ground, leaving the lightning to ignite the drought-stricken vegetation that hadn’t burned in over 40
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24th October, 1946, when a V-2 rocket lifted the first ever space-bound camera above New Mexico on a short sub-orbital flight. From an altitude of 65 miles, a 35
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tragedy. Excessive heat, prolonged drought, and dry thunderstorms came together in a perfect storm to fuel a raging wildfire that burned 8
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has been checked up to the power 4.6 ⋅<|endoftext|>Picture Yourself in Orbit: Are You Really Weightless?⏎An object in orbit is constantly falling, and falling is what causes “weightlessness.” Gravity acts on you even while
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
- L6:2255 weakly excites
- L5:1507 weakly suppresses
- L2:119 weakly excites
- L6:742 weakly suppresses
- L6:2575 weakly suppresses
- L5:2655 weakly suppresses
- L4:2953 weakly excites
- L7:3033 weakly excites
- L4:2130 weakly excites
- L5:1293 weakly excites 'of' in organisation names like 'Ministry of'
- L5:640 weakly excites
- L2:2431 weakly excites
- L0:682 weakly excites
- L6:1406 weakly suppresses
- L4:397 weakly excites
- L4:2986 weakly suppresses
- L2:2606 weakly excites
- L1:1124 weakly suppresses
- L3:2615 weakly suppresses
- L5:2058 weakly suppresses
- L6:1072 weakly suppresses
- L4:708 weakly suppresses
- L6:1045 weakly suppresses
- L1:2444 weakly suppresses
Feeds later layers
- L13:2439 excites
- L13:1327 weakly excites
- L10:1925 weakly excites
- L20:2969 weakly excites
- L18:1617 weakly excites
- L16:1006 weakly suppresses
- L18:244 weakly excites
- L14:189 weakly excites 'after' starting a time or cause clause
- L15:2502 weakly suppresses the gap in number ranges
- L16:2435 weakly excites
- L17:3058 weakly excites
- L21:278 weakly suppresses
- L16:1643 weakly suppresses
- L17:2710 weakly excites
- L19:2280 weakly suppresses
- L9:534 weakly excites
- L15:1528 weakly excites
- L16:1569 weakly excites
- L17:1457 weakly excites
- L24:1571 weakly excites
- L18:597 weakly suppresses
- L25:3028 weakly suppresses
- L19:911 weakly excites
- L21:2960 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
- cut
- ?";⏎
- ?");⏎
- originally
- odo
- folding
- =(⏎
- oft
- guided
- ��
Suppresses
- rypton
- prox
- stellen
- reich
- داد
- phoon
- andbox
- StateToProps
- 考点
- Advantage