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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. 18 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 full stop at the end of an introductory sentence in an article, the point where the next paragraph is about to start. Turning it up or down gave repetitive or rambling text, so the effect on writing is unclear.
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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of obsidian). However, sometimes obsidian isn’t as readily identifiable as you might think. It can grade into other rock types, making it difficult to distinguish.⏎Perhaps you have found a less common variety that doesn’t match your preconceived
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10 appearing for the board exams. Students can easily NCERT Solutions for Class 10 Maths Exercise 6.5 Chapter 6 Triangles from below.⏎CBSE Class 10 Maths Chapter 6 Triangles Exercise 6.
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that causes immune system dysfunction and multi-organ failure. Alverdy had a hunch that gut microbes might play a critical and culpable role in this process.⏎Fifteen years ago, Alverdy teamed up with Olga Zabor
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this blog, we’ll discuss all the important aspects of wearing shockproof gloves, starting from electric hazards, requirements for the right PPE, and tips and tricks.⏎Common Electrical Hazards⏎To discuss common electrical hazards that require the use of shock
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have an aneuploidy. Recent recommendations from the American College of Obstetricians and Gynecologists (ACOG) are quite clear on that issue.⏎In those same recommendations, ACOG also states
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care of them until they are large enough to transplant out.⏎It’s really not that difficult. Once you have the supplies and some minimal tools, you just start.⏎So let’s have a look at what you need and how to get started.⏎
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: of the only possible remaining use after all else, not at all, and/o/o, rather,, rather, rather,/o/o,,, (, ,, ,, ,, ,, ,, ,, ,, ,
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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|⏎|Order Information:||Web: http://www.tandfonline.com/pricing/journal/VECE20|⏎When requesting a correction, please mention this item's handle: RePEc:taf:jeduce:v:
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, access via your institution.⏎Buy single article⏎Instant access to the full article PDF.⏎Price includes VAT (USA)⏎Tax calculation will be final
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is an extension of Bullseye matrix problem.⏎Who has power to do everything in this world?⏎Close MATLAB with keyboard⏎Find the treasures in MATLAB Central and discover how the community can help you!⏎Choose a web site to get translated content where
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status as electors in August 1920 by the Nineteenth Amendment to the federal Constitution, the...⏎Users without a subscription are not able to see the full⏎to access all content.<|endoftext|>Great Slaty becomes World's
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
- L9:25 excites
- L14:1142 excites
- L8:32 excites
- L11:29 excites
- L15:1272 suppresses
- L7:22 weakly suppresses
- L13:414 weakly excites
- L5:726 weakly excites
- L11:864 weakly excites
- L13:2946 weakly suppresses
- L8:304 weakly suppresses
- L10:61 weakly suppresses
- L5:828 weakly excites
- L13:2712 weakly excites
- L9:2447 weakly excites
- L5:986 weakly suppresses
- L17:892 weakly suppresses
- L15:81 weakly suppresses line breaks inside running text
- L14:1800 weakly excites
- L17:794 weakly excites
- L6:3051 weakly suppresses
- L10:259 weakly excites
- L9:1118 weakly excites
- L15:1406 weakly suppresses
Feeds later layers
- L22:67 excites
- L26:114 excites
- L19:1619 suppresses
- L27:22 excites
- L21:100 excites
- L22:282 weakly excites period then line break in lists
- L21:524 weakly excites
- L23:407 weakly excites
- L23:179 weakly excites
- L21:1854 weakly suppresses
- L22:506 weakly excites
- L19:2709 weakly excites
- L22:418 weakly excites
- L24:261 weakly excites
- L22:1242 weakly excites
- L21:113 weakly excites
- L19:155 weakly excites
- L23:262 weakly excites
- L19:601 weakly suppresses
- L27:661 weakly excites
- L27:65 weakly excites
- L19:508 weakly excites
- L26:224 weakly excites
- L19:2404 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
- Indeed
- Figure
- 我们可以
- 这就是
- 至於
- 有一种
- According
- Indeed
- 不仅如此
- Fig
Suppresses
- itional
- ereum
- �始
- OMIC
- :variables
- omedical
- iac
- IColor
- 색
- thic