"mean by" in questions and definitions
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. 6 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 word "by" right after phrases like "what do you mean" or "meant", as in asking what someone means. When it was turned up, the written text drifted into unrelated topics and wording, so the effect on writing is unclear.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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?⏎14. What are the different flags in 8085?⏎15. What happens during DMA transfer?⏎16. What do you mean by wait state? What is its need?⏎17. What is PSW?⏎
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not always easy to achieve this seemly minimal standard.⏎For more precise definitions of what I mean by these terms, you can take a look at my recent paper with Jeff Leek
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to correct it at the spot. All you have to do is to click here and submit your correction.⏎Frequently Asked Questions (FAQ)⏎What do you mean by communized?⏎Meaning of communized is بات چیت ک
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Give any two deficiencies of barter system.⏎( Section – B)⏎13. Write any two central problems of an economy.⏎14. What are meant by
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just not the one of his hopes and aspirations. This paradise was right before his eyes, yet he lost it. I believe that this is exactly what is meant by the<|endoftext|>Australia’s mining industry continues to push the boundaries of automation with the use
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?Genesis 4:9⏎What do we mean by the term gatekeeper? In biblical days, cities were often guarded from enemies by
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 am interested in knowing which of the following, or, if there is a tie: and if there is a conflict, it is a must, for a single, first battle, to inform the player or to a general, and,
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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'. But, for whatever reason, it is usually pronounced as '/iy/' or “ee”.⏎How do you pronounce daemon in Golden Compass?⏎http://dictionary.reference.com/browse/daemon Pronounces it DEE-mon Which is how I've always
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(here Modula-3) the same would be achieved with the following code:⏎TYPE List = REF RECORD next: List; value: INTEGER; END;⏎VAR x := NEW(List, value:=1); BEGIN x.next :=
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features on chest scan images.⏎A new computer-aided diagnostic tool developed by KAUST scientists could help overcome some of the challenges of monitoring
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workers, and legal rights to unionized or lack thereof).Please provide resources as required by APA standards.⏎https://mynursingpaper.com/wp-content/uploads/2020/06/cropped-155972
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
- L5:2395 excites
- L3:1184 weakly excites
- L5:2759 weakly suppresses
- L5:102 weakly excites
- L5:1564 weakly excites
- L4:1274 weakly excites word right before a term's name
- L3:2807 weakly excites
- L1:1429 weakly suppresses
- L5:2614 weakly excites
- L1:1225 weakly suppresses 'domain' after time or frequency
- L4:2305 weakly suppresses
- L2:2020 weakly excites
- L4:2709 weakly suppresses
- L5:441 weakly excites
- L4:2534 weakly suppresses
- L2:1345 weakly suppresses
- L4:1106 weakly suppresses
- L5:1066 weakly suppresses
- L2:2877 weakly excites
- L2:1601 weakly suppresses
- L0:2493 weakly excites
- L1:965 weakly suppresses
- L5:272 weakly suppresses
- L0:555 weakly suppresses
Feeds later layers
- L9:2212 excites
- L7:3064 excites
- L7:1265 excites
- L13:1251 excites
- L10:1574 excites
- L18:2675 weakly excites
- L13:539 weakly excites
- L8:1219 weakly excites
- L10:2616 weakly excites
- L8:1203 weakly excites
- L18:2259 weakly excites
- L19:2801 weakly excites
- L9:2595 weakly excites
- L15:1157 weakly suppresses
- L16:2565 weakly excites
- L16:2804 weakly excites
- L19:3067 weakly excites
- L9:2152 weakly suppresses
- L9:2136 weakly excites
- L9:2577 weakly excites
- L7:1998 weakly excites
- L21:715 weakly excites
- L16:2440 weakly excites
- L18:1973 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
- 术语
- antage
- aña
- TERM
- kỹ
- rea
- ха
- ROUND
- circumference
- "display
Suppresses
- 控
- اث
- 嫁
- 熏
- mont
- cond
- emat
- strained
- .Assert
- itr