the middle digit of years like 2020
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 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 fires on the second digit of a year written as a number, especially years like 2020 where the model has to decide the next digits. Turning it up did not make the model write about years, so its effect on text is unclear.
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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. You may even have heard of names like Bitcoin or maybe Ethereum to name a view. There are many most popular cryptocurrencies which can be used in 2020.⏎Maybe you’ve heard the terms digital gold or halving if you’ve
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. So, you could also argue the Internet (<|endoftext|>このトピックには0件の返信が含まれ、1人の参加者がいます。2020年7月6日 at 9:45 AMに Megan Smith
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legal rights to unionized or lack thereof).Please provide resources as required by APA standards.⏎https://mynursingpaper.com/wp-content/uploads/2020/06/cropped-155972031
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This post contains my opinions and is not meant to be taken as medical advice. If you have a medical concern, please consult your personal physician.⏎@2020,<|endoftext|>The global energy system works on timescales of decades rather years.
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171, China⏎*Authors to whom correspondence should be addressed.⏎Received: 2020-8-4 / Accepted: 2020-9-8 / Published: 2020-9-
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for acyclic graphs of pointers.<|endoftext|>The Death And Life Of The Great Lakes Pdf⏎- and pdf⏎- Tuesday, June 1, 2021 2:11:00 AM⏎- 1 comment⏎
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 want to be able to make a very small amount of a solution that can be applied on the following lines of the screen by a single click on the screen. The following lines are on the screen, and the solution is located on the
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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0:10:22 CEST 2010⏎On 9/9/10 4:39 PM, Baba wrote:⏎> In below code "
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EST 2010⏎On Wednesday 24 November 2010 22:12:37, Russ Abbott wrote:⏎> Cool. I wasn't aware of that notation. It doesn't quite get to
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did so far:⏎Originally Posted by MrFujin⏎Enter a 5-charcter string: hgout⏎String#1: tough
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a kind of battery: conductive electrodes coated with a compound called polyanthraquinone, which has a natural chemical attraction<|endoftext|>From: Michael Barrie <mibarrieinterchange.ubc.ca>⏎Subject: Overt Mark
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
- L7:28 excites
- L14:1074 weakly excites
- L10:439 weakly suppresses
- L3:255 weakly excites
- L14:598 weakly excites
- L4:1943 weakly suppresses
- L9:764 weakly suppresses
- L17:1646 weakly excites
- L9:382 weakly excites
- L5:376 weakly excites
- L13:2150 weakly excites
- L13:2769 weakly excites
- L2:2641 weakly excites
- L9:748 weakly excites
- L8:2938 weakly excites
- L18:1263 weakly excites
- L11:140 weakly excites
- L17:1505 weakly suppresses
- L8:1711 weakly suppresses
- L5:404 weakly suppresses
- L0:2824 weakly suppresses
- L7:2152 weakly suppresses
- L15:1714 weakly suppresses
- L4:15 weakly suppresses
Feeds later layers
- L23:48 weakly suppresses
- L23:2827 weakly suppresses
- L20:1431 weakly suppresses
- L21:78 weakly suppresses
- L21:2459 weakly excites
- L22:1435 weakly excites
- L27:3021 weakly excites capital 'L' starting a name
- L24:429 weakly suppresses
- L22:2895 weakly excites
- L23:1414 weakly excites
- L26:99 weakly suppresses
- L21:2094 weakly excites
- L23:2982 weakly excites
- L21:1886 weakly suppresses
- L22:2244 weakly suppresses
- L21:1410 weakly excites
- L23:542 weakly excites
- L27:2027 weakly excites
- L20:2025 weakly excites
- L23:1969 weakly excites
- L21:1503 weakly excites
- L20:684 weakly suppresses
- L22:1094 weakly excites
- L23:1925 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
- чат
- 受
- /validation
- variant
- 服务平台
- ioned
- чив
- IVATE
- 佔
- /${
Suppresses
- wave
- oso
- ampo
- osa
- odu
- ugs
- 好吗
- kea
- anders
- [..