the spot after a comma in a number list
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. 5 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 fires on the empty space right after a comma in a list of numbers or years, such as "1, 1, 2, 3" or "7, 1862", where another number is expected next. Turning it up made the model produce lists of items and options, a weak match.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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1, 1, 2, 3, 5, 8, 1
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1, 1/4 turn clockwise and then back 2_______.⏎5.1
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02, 2012⏎Repairing bones with nanomaterials⏎(Nan
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0, 1, depending on the quadratic residue properties of modulo .⏎A famous result of Gauss
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9, 2012⏎Share Email Print⏎Kate Wong is an editor and writer
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7, 1862.⏎This navy blue infantry battle regalia is made out of
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: "You know, it's a small thing, or a small thing, or a minute." But the question is about how I would approach it, I need to check if there is any other thing. Okay, let I think about that
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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Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights.⏎Rosenblatt, David M., "Music Listening as Therapy" (2015). Loma Linda University Electronic
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objectives, Multiple stakeholders, Decision-making, Flood management⏎Civil and Environmental Engineering⏎Akter, Taslima and Simonovic, Slobodan P., "A General Overview of Multi-objective Multiple-participant Decision Making for Flood Management"
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Constitution Act, 1982. Chapter 11 of the UFA establishes a blueprint
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, Proceedings of the 13th USENIX Security Symposium, 2004.⏎Garfinkel, S. and Shelat, A., "Remembrance of Data Passed: A Study of Disk Sanitization Practices," IEEE
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
- L2:66 excites
- L4:3 excites commas after citation fields
- L1:86 excites
- L0:2921 suppresses
- L2:1395 weakly suppresses
- L4:19 weakly suppresses
- L3:487 weakly suppresses
- L3:71 weakly suppresses
- L4:774 weakly excites
- L4:25 weakly excites
- L2:3005 weakly suppresses
- L3:342 weakly excites
- L1:575 weakly suppresses
- L3:2497 weakly excites
- L3:187 weakly excites
- L1:1757 weakly suppresses
- L0:2650 weakly suppresses
- L2:2692 weakly excites
- L4:97 weakly suppresses
- L0:1362 weakly excites
- L2:129 weakly excites
- L1:1792 weakly excites
- L3:57 weakly suppresses
- L4:2448 weakly excites numerical computing and library names
Feeds later layers
- L7:42 weakly excites
- L24:877 weakly suppresses
- L12:1999 weakly excites
- L13:1505 weakly suppresses
- L22:2971 weakly suppresses
- L22:1099 weakly suppresses
- L9:3058 weakly suppresses
- L8:2548 weakly suppresses
- L12:2221 weakly suppresses
- L18:2870 weakly suppresses
- L10:1750 weakly suppresses
- L25:267 weakly excites
- L15:1305 weakly excites
- L20:3063 weakly suppresses
- L19:2589 weakly excites
- L27:1092 weakly suppresses
- L6:1948 weakly excites
- L8:599 weakly excites
- L22:2576 weakly suppresses
- L12:2123 weakly excites
- L22:1522 weakly suppresses
- L8:3028 weakly excites
- L23:1218 weakly suppresses
- L12:179 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
- allah
- ;"><?
- 公司
- apture
- 管理模式
- 提供的
- nok
- 抓
- v
- Anonymous
Suppresses
- endregion
- ynth
- .region
- če
- רט
- uxt
- conse
- Brady
- erce
- arine