'character' or 'letter' in text-symbol talk
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. 19 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 lights up on words like 'character' or 'letters' when the text is about strings of symbols, such as a 5-character password or a set of letters and digits. Turning it up made the model drift into unrelated topics like weather and math problems, so the steering did not show a clear theme.
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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program please!!:⏎Write an assembly program called hw3_ex1 , stored in file hw3_ex1.asm , that prompts the user to type a 5-character string. The program reads the first 5 characters of that string and prints two
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|sweet)$/igm ^ asserts position at start of a line Non-capturing group (?:chocolate|sweet) 1st Alternative chocolate chocolate matches the characters chocolate literally (case insensitive) 2nd Alternative sweet sweet matches the characters sweet
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did so far:⏎Originally Posted by MrFujin⏎Enter a 5-charcter string: hgout⏎String#1: tough ; ASCII code decremented
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anding Role for Genetics Counselors⏎The completion of the human genome sequencing launches a new era in genetic medicine. With the decoding of the letters that make up the recipe of human life an opportunity now exists for scientists to discover
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32. Match the example shown below, where user input is shown in bold face:⏎Enter a 5-character string: hguot⏎String #1: tough⏎String #2:
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AS), is the first to identify a non-primate species as having “orthographic” abilities.⏎In the experiment, pigeons were trained to peck four-letter English words as they came up on a screen, or to instead peck a
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 number of the first three points of the $ \left( 3 \cdot 3 \ \frac{ \cdot \ 3 \ \cdot 3 \ \cdot 3 \ \cdot 3 \ \cdot 3
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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that is returned by the function and can be a type C data.⏎- Function name. This is the identifier in which you can use to call your function.⏎- Argument. Parameters that are passed to function of any type of C data.⏎You
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the result is formated the same way as is it usually used with manual calculations.⏎Your task is to write the core part of this calculator. Given two numbers and the requested operation, you are to compute the result and print it in the form
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or functions in Python.⏎Assign strings to variables and use them to print output at certain stages of the program. For example:⏎>>> >>> s1 = 'String in single quotes' >>> s1 'String in single quotes' >>> >>> s2
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need to use the range function to iterate over the array using a for loop. The range() function returns a sequence of numbers starts from a given number to another given number with a given step.⏎It is defined as like below:⏎range(start,
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
- L8:1146 suppresses
- L11:2835 excites
- L6:531 suppresses
- L11:619 suppresses
- L10:1178 excites
- L14:2980 excites
- L10:1790 excites
- L11:701 suppresses
- L9:628 excites
- L6:1254 suppresses
- L15:1763 excites unclear: pieces of longer words and analogies
- L9:1788 suppresses
- L13:1582 suppresses
- L8:622 excites
- L16:1403 suppresses
- L7:1811 excites
- L9:2688 weakly suppresses
- L17:1531 weakly suppresses
- L12:1778 weakly suppresses
- L7:3041 weakly excites
- L6:2254 weakly excites
- L6:1518 weakly excites
- L6:2793 weakly excites
- L12:2213 weakly suppresses
Feeds later layers
- L21:1389 excites
- L23:626 excites
- L20:766 excites
- L20:2651 excites
- L21:2418 excites
- L21:1553 excites
- L22:2114 weakly excites
- L27:1469 weakly excites
- L24:712 weakly excites 'long' in 'long-term' and 'long-lasting'
- L24:535 weakly excites
- L24:1841 weakly excites
- L20:2609 weakly excites
- L22:985 weakly excites
- L21:2044 weakly suppresses
- L21:1101 weakly suppresses
- L21:2898 weakly suppresses
- L24:2432 weakly suppresses
- L21:2751 weakly suppresses
- L25:2038 weakly suppresses
- L23:1471 weakly excites
- L20:1787 weakly excites
- L21:960 weakly excites
- L23:1008 weakly suppresses
- L26:1334 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
- 字符串
- concatenate
- sequence
- (CharSequence
- string
- ="__
- sequence
- concaten
- :String
- string
Suppresses
- دار
- 息
- Cove
- brows
- ga
- heet
- grad
- reen
- innacle
- ularity