end of document token
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. 12 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 mostly switches on at the invisible marker that separates one web page from the next, where a new, unrelated text begins. Turning it up made the model's writing wander and repeat itself, without 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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a few steps, I would suggest you go through this: https://www.thepythoncode.com/article/hide-secret-data-in-images-using-steganography-python<|endoftext|>Acute paranoia is a clinically recognized personality disorder characterized by extreme distrust, hostility and
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made of four 1N4007 PN junction diodes and a filter capacitor of 2.2uF/450V.⏎This<|endoftext|>Warning: Use of undefined constant user_level - assumed 'user_level' (this
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data from TC1.<|endoftext|>The concept of welfare state⏎We all know that most of the modern democratic countries
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firstname.lastname@example.org.<|endoftext|>The Musical Representation⏎How human musical experience emerges from the audition of organized tones is
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, u, t)$.⏎<|endoftext|>While many students view summer as a time to forget about school, it remains an
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Statistics software.⏎The software version addressed is SAS LASR Analytics Server 2.5.⏎SAS In-Memory Statistics Overview<|endoftext|>Thomas Edison Pitch Contest⏎The Thomas Edison Pitch Contest was created in 20
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 need to know, how to apply and then when to use it correctly). Answer, Question: What is the key human resource management information system approach for this question where to adapt the best one? ? Answering process: You need to
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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a matrix⏎Find nth maximum⏎Matlab Basics II - Create a vector with a repeated entry⏎Create sequnce 1
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/rural/2017-05-23/the-future-of-automation-in-the-mining-industry/8550636<|endoftext|>Service Oriented Architecture⏎Service-oriented architecture (SOA) is an evolution
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from China, snow peas from Guatemala and asparagus from Peru.⏎As fears of mad cow
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is determined" (Zuck, pp. 20). F. Biblical Theology "Biblical theology is the study of divine revelation as File Size: KB.⏎Get this from a library! Principles of biblical interpretation: (sac
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
- L4:121 excites
- L10:157 suppresses end of document and web boilerplate
- L7:1625 suppresses
- L10:1604 suppresses
- L9:835 excites
- L9:1301 excites
- L9:232 suppresses
- L7:885 weakly excites
- L9:260 weakly suppresses
- L9:1712 weakly suppresses
- L11:1810 weakly excites
- L10:1879 weakly excites
- L10:890 weakly excites
- L10:507 weakly suppresses
- L7:45 weakly suppresses
- L11:723 weakly suppresses
- L7:1308 weakly suppresses
- L2:1549 weakly suppresses
- L9:414 weakly suppresses
- L4:761 weakly suppresses
- L9:128 weakly suppresses
- L2:924 weakly excites
- L5:11 weakly excites
- L7:1146 weakly excites
Feeds later layers
- L13:283 suppresses
- L14:2556 weakly suppresses
- L16:275 weakly suppresses
- L14:905 weakly suppresses
- L20:2397 weakly suppresses
- L17:857 weakly excites
- L20:52 weakly excites
- L20:452 weakly excites
- L14:2030 weakly excites
- L22:12 weakly excites
- L13:2946 weakly suppresses
- L23:57 weakly excites
- L15:1686 weakly suppresses
- L14:84 weakly suppresses
- L21:45 weakly excites
- L18:151 weakly excites
- L19:25 weakly excites
- L15:2628 weakly suppresses
- L23:143 weakly excites
- L15:145 weakly excites
- L17:458 weakly excites
- L21:114 weakly excites
- L16:248 weakly excites
- L15:1810 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
- trace
- fee
- atory
- other
- Trace
- matter
- enu
- :⏎⏎
- ırken
Suppresses
- sexist
- tits
- flank
- UserService
- ysize
- ingly
- Nonnull
- ')</
- ']}'
- itives