dash opening a bullet list item
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. 1 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 reacts to the dash at the start of a bullet point in a list, especially right after a line ending in a colon like "includes:". Turning it up or down gave text that did not clearly relate to lists, so the steering results do not explain it.
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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and dimensions of a structure.⏎Important Steps In the Scanning Process⏎The important steps in the laser scanning process are :⏎- Data collection with a 3D laser scanner⏎- Backing up this data
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is, beyond the particular commands and syntax of a specific language) and develop an understanding of the general principles and characteristics of programming and programming languages. This includes:⏎- algorithms and problem solving with an emphasis on fundamental data structures⏎- object-oriented programming
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in several step using a sequencing algorithm: An algorithm consisting of instructions that are carried out (performed) one after another.⏎We will use the following steps:⏎- Convert all measurement to the same unit (e.g. mm)⏎- Calculate the
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them in sketching. Before you start creating functions in Arduino, understanding facts about functions is vital. Some of the essential facts you will need to note includes:⏎- Every function should have a unique name⏎- A function name must be followed by
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setup () and a loop (). The rest of the functions have to be created outside the bracket with these two functions. The best syntax used in defining function is:⏎- Return type. This is the type of value that is returned by the function and
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part of your business offering, multi-factor authentication is a must. There are many ways to set up multi-factor authentication, but some popular, secure methods include:⏎- Email – let the user receive a verification code or password reset via email⏎-
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 been thinking about lately, and I have been thinking about lately. So, I have been thinking about lately. So, I have been thinking about lately. So, I have been thinking about lately. So, I have been thinking
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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Mail newspaper offered a £10,000 prize<|endoftext|>ATLANTA —
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He also received tribunician power and was<|endoftext|>The CDC advises that the COVID-19 vaccination will help protect you from getting COVID-19. In addition, CDC guidance emphasizes proper infection prevention protocols and the proper use of isolation procedures.
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) for the <codeBase> element, which specifies where the runtime can locate an assembly (for more information, see Specifying an Assembly's Location).⏎<codeBase version="188.8.131.52"
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supply chain may charge more due to changes in petrol prices and the crude price. Due to the state taxes every region price is set accordingly<|endoftext|>Links / Pages:⏎Page at a Gl
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
- L0:1301 suppresses
- L0:1224 suppresses
- L0:178 suppresses
- L0:799 weakly suppresses
- L0:747 weakly suppresses
- L0:732 weakly excites
- L0:639 weakly excites
- L0:2409 weakly excites
- L0:508 weakly suppresses
- L0:999 weakly excites
- L0:1936 weakly suppresses
- L0:1783 weakly excites
- L0:9 weakly suppresses
- L0:1 weakly suppresses
- L0:1507 weakly excites
- L0:828 weakly excites
- L0:527 weakly excites
- L0:202 weakly excites start of a new document
- L0:1049 weakly suppresses
- L0:1404 weakly excites
- L0:2599 weakly suppresses
- L0:585 weakly excites
- L0:2895 weakly suppresses
- L0:2282 weakly excites
Feeds later layers
- L23:976 weakly excites
- L7:2477 weakly suppresses
- L20:368 weakly excites
- L17:1109 weakly excites
- L11:2533 weakly suppresses
- L18:2595 weakly excites 'only' in 'not only ... but also'
- L5:3033 weakly suppresses
- L25:937 weakly excites
- L17:2491 weakly excites
- L7:2113 weakly suppresses
- L10:982 weakly excites
- L9:693 weakly suppresses
- L19:1116 weakly excites
- L19:434 weakly excites
- L16:960 weakly suppresses the word "some" mid-sentence
- L4:1606 weakly suppresses
- L14:323 weakly suppresses
- L17:2306 weakly excites
- L8:188 weakly excites
- L17:1304 weakly excites
- L12:1687 weakly suppresses
- L17:561 weakly excites
- L14:1660 weakly suppresses
- L20:1067 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
- ��
- ugal
- ��
- ,default
- -found
- peated
- BSP
- BED
- ��
- Ethi
Suppresses
- rometer
- itness
- ija
- لها
- COVER
- と言い
- 还包括
- tong
- 对她
- ium