garbled text and stray symbols
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. 18 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them 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 broken characters left over from text that was saved with the wrong encoding, such as the odd 'â' that stands in for a curly quote. When it was turned up, the model's replies became repetitive and off topic, so the neuron's role is hard to pin down.
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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. Hildebrand.)⏎Open content licensed under CC BY-NC-SA⏎Given an integer , the exponential sum version of the Gauss sum modulo is defined by⏎and the quadratic residue version is defined by⏎where is the Jacobi symbol, which
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1.4 billion adults worldwide are overweight and at increased risk for type 2 diabetes, heart disease, osteoarthritis, and certain forms of cancer.⏎âIf youâre overweight, losing just 5 to 10 percent of
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Berry said improving ventilation in classrooms has been a key area in recent years, including equipping schools with carbon dioxide sensors to manage air quality during bushfire seasons.⏎âWe have been installing CO
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entitled Disk Partition Alignment Best Practices for SQL Server by Jimmy May and Denny Lee at Microsoft.⏎You have a server with a RAID volume – For the example we will say RAID 1
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of the wavefunction's "evenness" or "oddness". This is how the wavefunction behaves when it is reflected about the point x=0:⏎|Even Parity||Odd Parity|⏎Parity is important in scenarios such as
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!”’)⏎John says “Hello there!”⏎## Use escape sequences to print special characters, tabs, or line breaks Escape sequences start with a backslash ( `` ). Some common escape sequences are: - `n` Newline - Prints 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: to make a 3D32N3444 (N = 332, 344 +122 = 1922 +122 = 1998, as a
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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habits, optimization of management of diabetes and cardiovascular diseases, and conducting continuous surveillance to monitor the trends in NCD prevalence, their risk factors, and treatments.⏎Copyright © 2020 The Royal Society for Public Health. Published by Elsevier
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2):57-61 DOI:http://dx.doi.org/10.4314/aas.v15i2.5⏎© 2018 Author. This work is licensed under the Creative Commons Attribution
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objects in the nose.⏎SOURCE: CMAJ (Canadian Medical Association Journal), news release, Oct. 15, 2012⏎Copyright © 20
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affect how well children learn to read, it appears that school resources, student academic ability, and students learning in their mother tongue are some factors for consideration. Copyright © 2014 Society for the Scientific Study of Reading (SSSR).⏎
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
- L8:2 weakly excites
- L16:1683 weakly excites
- L15:524 weakly suppresses
- L9:1645 weakly excites
- L3:105 weakly excites
- L16:2259 weakly suppresses
- L7:455 weakly suppresses
- L1:1930 weakly excites
- L1:1885 weakly suppresses
- L4:2937 weakly suppresses
- L12:2962 weakly suppresses
- L17:82 weakly suppresses
- L7:209 weakly excites
- L0:1025 weakly excites
- L0:1201 weakly excites
- L13:1504 weakly suppresses
- L15:979 weakly suppresses
- L1:1842 weakly suppresses
- L12:232 weakly suppresses
- L14:2622 weakly excites
- L10:1354 weakly suppresses
- L17:96 weakly suppresses
- L15:1851 weakly suppresses 'that' after a noun, 'being' in passives
- L9:1096 weakly excites
Feeds later layers
- L20:2411 weakly excites
- L21:162 weakly excites
- L20:2002 weakly suppresses
- L21:1515 weakly excites
- L27:101 weakly suppresses
- L19:1513 weakly excites
- L20:486 weakly excites
- L19:220 weakly excites question mark ending a web question heading
- L22:67 weakly suppresses
- L20:2154 weakly suppresses
- L19:377 weakly excites
- L19:188 weakly excites
- L27:2643 weakly excites
- L22:1733 weakly excites
- L24:1599 weakly excites "of" in "of use/concern/interest" phrases
- L20:2022 weakly suppresses
- L20:472 weakly excites
- L22:1487 weakly excites
- L19:1167 weakly excites
- L20:396 weakly excites the D in 3D or 2D
- L19:696 weakly excites
- L20:1887 weakly excites
- L24:2480 weakly excites
- L24:650 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
- ators
- IMAL
- Cls
- wał
- imal
- ledo
- scription
- ixel
- �
- [at
Suppresses
- 公报
- contours
- elia
- jn
- blobs
- �습니다
- alone
- -even
- dob
- retard