'to' after 'things' or 'factors'
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. 22 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 small word "to" when it comes right after a noun like "things", "factors" or "important thing" and introduces a verb, as in "things to consider". When turned up, the text fell into repeating "to keep to keep" loops.
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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Build Cascading Deck Stairs⏎Building cascading deck stairs can be a fun and easy project that can add value to your home. There are a few things to consider when building cascading stairs, such as the height of the landing, the
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many technical exercises require their outcome/findings to be communicated to stakeholders (or in the case of students, assessors). Here, some of the most important considerations to be taken into account when writing a technical report are highlighted. This section will briefly
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know, here's some things to check:⏎Its going to vary by manufacturer, window type, and age, but
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the strengths of the Heartland Theory?⏎- What are the weaknesses of the Heartland Theory?⏎- Does the Heartland Theory still apply today?⏎- Key points to remember about Mackinder’s Heartland Theory⏎- Mackinder’s Heartland Theory
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Shepherd is Overweight⏎It is difficult to notice when a remarkable change has happened in your dog, especially when you it every day. Below are a few things to look out for to determine if your dog is overweight. However, a vet
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The following method for evaluation takes into account wheel applications for a cart or other vehicle bearing an equally distributed load while at rest. There are a number of additional factors to take into consideration when evaluating the suitability of a particular wheel for specific applications, which
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 way in the **principle of the** **principle** (prs) that the **principle** is **a** **principle** (prs) to the **principle** to the **principle**
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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pureus albus, and another named C.<|endoftext|>General Chemistry/Periodicity and Electron Configurations⏎Blocks of the Periodic Table ⏎The Periodic
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can also visit the Food and Drug Administration (FDA) website ( Web Site) or the manufacturer's website to obtain the Medication<|endoftext|>Gingivitis, periodontitis, and gum disease.⏎Are these words you have heard at the dental
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a complex and inter-connected microbial neighborhood that appears to be associated with asthma, and akin to what has also been found in inflammatory bowel disease, vaginitis, periodontitis, and possibly even obesity.⏎"People thought that asthma was caused by inhal
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a different instrument⏎- African drums or Samba⏎Year 1 and Year 2 are also offered the opportunity to learn to play the violin with a peripatetic member of staff from Hampshire Music Service.<|endoftext|>Do you experience persistent jaw
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
- L21:2405 suppresses
- L20:2035 suppresses
- L19:2394 excites
- L6:2387 weakly excites
- L17:1012 weakly excites
- L21:1890 weakly suppresses
- L5:741 weakly excites
- L0:2216 weakly excites
- L15:2692 weakly excites 'to' after a noun, before a purpose verb
- L12:2586 weakly excites 'so' after a comma
- L8:728 weakly excites
- L15:857 weakly excites
- L20:322 weakly suppresses
- L14:2077 weakly excites
- L21:1766 weakly excites 'in' in 'bear in mind' phrases
- L9:2 weakly excites
- L21:1877 weakly suppresses
- L18:1714 weakly suppresses
- L17:1939 weakly excites
- L17:2517 weakly suppresses
- L15:2293 weakly suppresses
- L1:2679 weakly suppresses
- L11:2993 weakly suppresses
- L12:812 weakly excites
Feeds later layers
- L23:1542 excites
- L24:764 excites
- L25:959 excites
- L24:2481 excites
- L25:1678 excites
- L23:2486 weakly excites
- L23:1876 weakly excites
- L23:1500 weakly excites
- L23:1141 weakly suppresses
- L27:1236 weakly excites
- L27:1619 weakly excites
- L24:1973 weakly suppresses
- L23:1945 weakly suppresses
- L23:1445 weakly excites
- L23:2504 weakly excites
- L23:2361 weakly excites 'to' in 'to do with'
- L24:396 weakly suppresses
- L27:1751 weakly suppresses
- L24:1897 weakly excites
- L23:2074 weakly suppresses
- L27:2665 weakly suppresses
- L24:2022 weakly suppresses
- L24:2853 weakly suppresses
- L23:829 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
- 应该
- 要
- should
- 要考虑
- Keep
- 应
- 需
- zym
- 需要
- 要注意
Suppresses
- phận
- enso
- ứt
- مج
- assure
- ipe
- vẻ
- JEXEC
- تون
- 个项目