'is' after a long subject phrase
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 mixed: they peak on different tokens. 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 word 'is' when it comes after a long subject, like 'understanding how to create a function in Arduino is vital'. It is a grammar-position detector. Turning it up made the model's writing drift into rambling, unrelated sentences.
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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functions of an Arduino offer utility of using subroutines. Understanding how to create a function in Arduino is vital for any programmer out there. With that said, we shall be discussing how
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development. They create financial indicators for text mining. They gather text and analyze the content to produce market indicators. For some data science jobs, knowing about machine learning is necessary.⏎Machine Learning Engineers⏎have master’s degrees, and sometimes PhDs in
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will work as well.⏎Utilizing your BFFs.⏎Having the right friends and someone to talk to and count on is extremely important for your mental health. Seek out groups and activities that will attract new
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katakana and includes the English words “fox” and “face,” would seem to have been borrowed from abroad. But the plant isn’t called fox face anywhere outside Japan; this is purely wasei eigo (made-in-Japan
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by the seemingly complicated written structure. With Music Theory for Dummies, understanding music has never been easier!⏎Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.<|endoftext|>is a former municipality in Akershus
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Please schedule an appointment through Connect.⏎Getting a flu vaccine and a COVID-19 vaccine--including a COVID-19 booster shot--at the same time is safe, says Adam R. Stracher, MD, chief medical officer at W
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 have a need to always and always and and and and 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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at the question, as well as all of the answer options before reading a passage. Skimming the question and the answer options gives a student an idea of what to look for in the passage. Perhaps the question concerns the main idea of the passage
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; a noble man does not love the world or anything in the world. Proverbs 31:8-9 -- a noble man stands up for what is right and shows concern for others. Such are the sayings of King Lemuel
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, guided with PHD Guide⏎HA 6 x 15 minutes<|endoftext|>Have you ever sat down to begin writing and not have a single idea about what to write? We are learning to generate ideas in different ways so that when we sit
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image, created using an online image generator.⏎This wasn’t the only piece of misinformation shared during and immediately after the terrorist attack. However, the majority had one thing in common: a visual element. Rarely were stories shared exclusively in text
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
- L17:1193 suppresses
- L17:2676 excites
- L16:1500 suppresses
- L17:1796 suppresses
- L14:630 excites
- L15:2366 suppresses
- L15:618 suppresses
- L14:2086 suppresses
- L17:733 suppresses
- L15:1656 excites
- L17:2175 excites
- L13:602 suppresses
- L17:2109 suppresses
- L17:503 suppresses
- L14:1473 excites
- L15:1692 excites
- L12:2414 suppresses
- L15:1537 excites
- L14:1956 suppresses
- L16:2143 suppresses
- L17:294 excites
- L15:1602 suppresses
- L17:2879 excites
- L12:1271 suppresses
Feeds later layers
- L19:2412 suppresses
- L19:1045 suppresses
- L19:716 suppresses
- L19:1549 excites
- L20:1726 excites
- L19:2798 suppresses
- L19:544 excites
- L20:1152 suppresses
- L19:1488 suppresses
- L19:1371 suppresses
- L22:2626 excites
- L22:181 excites
- L20:1561 suppresses
- L20:585 excites
- L20:1093 suppresses
- L19:566 weakly excites
- L20:1932 weakly suppresses
- L24:422 weakly excites
- L19:2103 weakly suppresses
- L20:2187 weakly suppresses
- L22:1971 weakly suppresses
- L20:1771 weakly suppresses
- L19:3049 weakly suppresses
- L19:2236 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
- etical
- travel
- 被
- 工作
- travels
- ipro
- 已被
- losed
- mism
- ival
Suppresses
- reak
- vez
- sez
- edian
- 就想
- 不排除
- DataContext
- }->{
- containing
- implementing