unclear: weak mixed activations
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. 13 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 only weakly and on a mixed bag of things, including grammar exercises, digits in lists and a few single words. Nothing clear ties these together. Turning it up produced repetitive or wandering text with no obvious theme.
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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Sustainability 2013, 5(7), 3006-3008; doi:10.3390/su5073006⏎I am honored to introduce this
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day, all three dogs were very hungry.⏎They started searching for food, but they couldn’t find anything. At last, they found a bone lying in the water.⏎They tried hard to get it but failed.⏎One of them thought that if
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the house The house is cleaned by Helen Some people collect pictures Pictures are collected by some people The dog killed a ratA rat was killed by the dog The teacher will explain the story The story will be explained by the teacher⏎Examples Simple present:
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, snatched off the order of St. George which he bore on his neck, and the Admiral, to show himself as great an enemy in adversity as he had been thought
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Protecting Your Family and Loves Ones, No Matter What Happens⏎The program uses direct cash transfers for girls who remain unmarried and in school, but somehow the factories have had more of an impact.⏎How can this be?⏎“When
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of various survey questions. Here we will go over what cross tabs are used for, how to set them up, and what the output will look like.⏎As mentioned, cross tabs are used for showing a side-by-side comparison of two or more
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:................................................................................................................................................
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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, Sea Level, Renewable Energy, Natural Resources, Climate, Weather, Non-Renewable Energy, Land,
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The answer to soaring gas prices lies in renewable heating, a technology that is ready to replace gas
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00,000), with mortality rates twice as high for African Americans as Whites (4.4 versus 2.2 per 100,000).⏎These researchers
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suggest that the symptoms of anxiety could exacerbate slow processing speed. For example, children with Obsessive Compulsive Disorder might appear to complete work slowly because they have developed internal rules such as needing to re-read an entire passage if they make a
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
- L12:673 excites
- L12:56 suppresses
- L12:583 excites
- L12:827 excites
- L11:990 excites
- L11:481 excites
- L10:1509 excites
- L12:730 excites
- L12:994 suppresses
- L9:536 excites
- L10:1873 suppresses
- L12:1567 excites
- L7:380 suppresses
- L11:569 weakly suppresses
- L12:2488 weakly excites
- L10:48 weakly suppresses
- L11:196 weakly suppresses
- L12:1346 weakly suppresses
- L12:744 weakly excites
- L11:928 weakly excites
- L12:184 weakly excites
- L1:1007 weakly excites name pieces inside a multi-part word
- L11:718 weakly suppresses
- L9:1524 weakly suppresses
Feeds later layers
- L14:991 strongly suppresses
- L15:1750 strongly excites
- L18:997 excites
- L18:397 excites
- L14:2280 excites
- L14:561 excites
- L15:1471 excites
- L14:1451 suppresses
- L15:2263 excites
- L15:567 suppresses
- L15:1027 excites
- L15:946 suppresses
- L15:1947 suppresses
- L14:978 excites
- L17:1414 suppresses
- L15:159 suppresses
- L16:866 suppresses
- L14:2827 suppresses
- L16:2101 excites
- L16:1904 excites
- L15:597 suppresses
- L15:2673 suppresses
- L15:2475 excites
- L15:341 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
- 民主党
- igli
- тер
- -addons
- barang
- 对学生
- iente
- HING
- %)⏎⏎
- (png
Suppresses
- dff
- ells
- ators
- PC
- ight
- GBT
- too
- CP
- gates
- ifier