digits inside dates
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. 20 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them 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 number digits inside dates and timestamps, such as the zero in '04-06-2009'. Its negative side is less clear. Steering did not give a consistent picture.
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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Ray, Viral Structure And Flu Vaccines.⏎04-07-2009 / The History Of Influenza⏎04-06-2009 / Flu Vaccine Contamination And Quality Control⏎0
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information about the person's previous medical condition prior to death and so gives an understanding of the various factors which may have contributed to their death. Even if the cause of death may seem clear, the person may have had a medical condition which was not
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9 / Preservative-Free Flu Shots⏎03-04-2009 / Flu Strains Developing Resistance to Tamiflu⏎03-03-2009 / The History Of Influenza⏎0
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, everything should fit your needs.⏎Afterwards, do not forget to notice the condition and soil moisture. Whether the soil is fertile or not? If the soil is fertile, you don’t need to add the loose soil. However, if you
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arthritis? It’s possible, according to researchers at Cardiff University in Wales who have been studying the Read more…⏎Posted in Jesus/Historical Jesus.⏎11/04 | BAR editor Hershel Shanks discusses a recent article in the Atlantic un
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the cooking process.⏎Absolutely any food or dish that you would simmer in its liquid once you have brought it to the boil. All beans, legumes, grains and pulses; all soups
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: how many ways but not necessarily by by by by by by by by by by by by by by by by by by by by
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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the OT? No, not according to Gordon Fee and Douglas Stuart in their popular book How to Read the Bible for All Its Worth. Following are ten principles for interpreting OT narratives that Fee and Stuart recommend:⏎
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an individual and physical examination must be performed in a respectful and culturally sensitive manner. Privacy is essential and the nurse must be aware of their own ...⏎You have reached your viewing limit for this book.⏎What people are saying - Write a review⏎Res
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www.gpi.org.⏎Answers: C, A, B, B, C<|endoftext|>This article is about the Great American Novel as a concept. For other uses, see Great American Novel (disambiguation).⏎The "Great American Novel"
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!⏎What about NetBeans? A popular, widely used IDE that many large applications have been created in over the years. Do you know how to use it to its full potential? Well, in this course we will go through several lessons that will
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
- L18:569 suppresses
- L17:43 suppresses
- L18:850 excites
- L19:2143 excites
- L19:423 suppresses words that set up a following clause
- L15:1662 suppresses
- L19:146 suppresses
- L18:2724 suppresses
- L2:1422 excites
- L16:918 excites
- L18:141 weakly excites
- L19:1653 weakly suppresses
- L7:805 weakly excites
- L19:1499 weakly excites
- L19:1119 weakly excites
- L19:1483 weakly suppresses
- L15:20 weakly excites
- L18:2149 weakly excites
- L18:1326 weakly excites
- L10:678 weakly suppresses
- L7:26 weakly suppresses
- L17:295 weakly suppresses
- L18:1927 weakly suppresses
- L19:988 weakly excites
Feeds later layers
- L24:363 suppresses
- L21:653 excites
- L26:511 suppresses
- L26:5 weakly excites
- L26:732 weakly suppresses
- L21:112 weakly excites
- L21:324 weakly excites
- L21:170 weakly excites
- L27:948 weakly excites
- L25:5 weakly excites
- L24:85 weakly excites
- L26:315 weakly suppresses
- L25:409 weakly suppresses
- L27:314 weakly suppresses
- L25:249 weakly suppresses
- L27:1236 weakly excites
- L27:127 weakly suppresses
- L27:425 weakly suppresses
- L27:1076 weakly excites
- L27:26 weakly suppresses
- L27:1 weakly excites
- L22:90 weakly excites
- L27:84 weakly suppresses
- L25:1114 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
- boa
- umb
- larger
- bigot
- 还将
- PIO
- resignation
- mode
- wag
- satisfactory
Suppresses
- ctors
- ainer
- ainers
- ointments
- ission
- verages
- itter
- efore
- missions
- imming