unclear: end of boilerplate text
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. 11 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 seems to mark the edges of boilerplate, such as the spot where a disclaimer or footer ends and a new document begins. The pattern is loose, and turning it up did not clearly show this. Treat the explanation as a guess.
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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at (979)245-8913. For tourist information, visit www.visitmatagorda.com.<|endoftext|>A universal element of a functor is an element , where is some object of ,
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Thousands of Years⏎✓ THIS POST MAY CONTAIN AFFILIATE LINKS*⏎Disclaimer: I am not a medical doctor and nothing in this article should be
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16,000 advocates and policymakers across the country who are pushing for effective and equitable climate policies in their states. The views, thoughts, and opinions expressed in this article do not necessarily reflect those of Climate XChange.⏎Interested in submitting
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intended to be a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of qualified health providers with questions you may have regarding medical conditions.<|endoftext|>The Amendment Process and the African American Fight for Representation and Equality⏎Black History Month
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tools.⏎IF continues to produce a steady stream of strongly RPG-influenced works. Quite apart from the continuing popularity of old<|endoftext|>Please Note: By clicking a link to any resource listed
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Dropbox.⏎Grading Criteria and Rubric⏎Note: This assignment will be graded using a rubric. Download and read the rubric to understand the expectations.<|endoftext|>A new bionic hand has been developed that may give amputees a soft
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 first of the great things, the time when I was not proud of being my own work, the truth that this is what the time and all of the other that is mentioned, and all of the above, together with the words:
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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ized or lack thereof).Please provide resources as required by APA standards.⏎https://mynursingpaper.com/wp-content/uploads/2020/06/cropped-1559720319884
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on 4 February 2012.⏎Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with
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Drive, Headington, Oxford, OX3 8QQ⏎Back to previous page<|endoftext|>A waterspout is a cyclonic
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2017 WHSmith and its suppliers.⏎WHSmith High Street Limited Greenbridge Road, Swindon, Wiltshire, United Kingdom, SN3 3
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
- L10:1138 suppresses
- L7:1135 weakly excites
- L10:394 weakly suppresses
- L4:3004 weakly suppresses
- L10:2933 weakly suppresses
- L8:1949 weakly excites
- L10:1791 weakly excites
- L6:1775 weakly suppresses
- L10:2450 weakly excites
- L9:117 weakly suppresses
- L1:2629 weakly suppresses
- L10:96 weakly suppresses
- L7:368 weakly excites
- L6:2900 weakly excites
- L3:115 weakly suppresses
- L7:2172 weakly excites
- L10:2707 weakly suppresses
- L10:2956 weakly suppresses
- L9:1533 weakly suppresses
- L9:800 weakly excites
- L9:1353 weakly suppresses
- L5:62 weakly excites
- L7:1384 weakly suppresses
- L6:836 weakly excites
Feeds later layers
- L14:2556 suppresses
- L21:19 excites
- L18:151 excites
- L17:892 suppresses
- L13:129 excites
- L27:581 suppresses
- L25:5 excites
- L21:18 excites
- L20:543 suppresses
- L21:66 excites
- L19:82 excites
- L19:251 suppresses
- L27:8 excites
- L14:2941 excites
- L21:15 excites
- L20:38 excites
- L23:206 suppresses
- L18:396 suppresses
- L21:14 excites
- L20:452 excites
- L16:1262 excites
- L21:24 excites
- L21:17 excites
- L12:421 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
- !
- ?
- ission
- pass
- арь
- on
- eration
- 簪
- n
- ابة
Suppresses
- -commercial
- นำไป
- LBL
- yer
- hồ
- 举行了
- ="<<
- chten
- Hồ
- maté