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. 14 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 marker that signals the end of a web page or document, especially when the text stops abruptly in the middle of a list or sentence. Turning it up made the model ramble in loops, so the steering does not show 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.
-
conscious you can make passwords stronger by:⏎- Use both upper and lower case letters⏎- Use more special characters⏎- Make the way you combine them more complicated<|endoftext|>If unwed parents are going to get married, the best window of opportunity for
-
Particles, Wiley, 1987.⏎See also: Antineutrino⏎See also: Nuclear Reactor as the Antineutrino Source<|endoftext|>Greek government-debt crisis⏎|Greek debt crisis|⏎Greek government debt crisis articles
-
manage operations in your warehouse.⏎- Lay out a proper strategy for handling damaged products and returns from customers.⏎- Implement pest control measures to protect your products.⏎-<|endoftext|>Nucleation properties of respirable coal dust (terminal progress report).⏎Physics Department
-
. 2008. English.⏎Last Reviewed: March 2010⏎Last Updated: November 13, 2014<|endoftext|>If we wanted to create a form of feedback that encouraged students to focus less about
-
in desired direction.⏎Step back and look at pruned shrub from different angles to check final shape of shrub. It should look like a small tree.<|endoftext|>Pace has always been a leader in environmental studies, so why not take advantage
-
01.0yyyyyyy.yyyyyyyy => 172.17.0.0/17⏎- We need a network with <|endoftext|>|Classification||Electronic musical instrument, synthesizer|⏎|Inventor(s)||
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, or been in a position, or the time, or the time, or the time, or the time, or the time, or the time, or the time, or the time, or the time, or the
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
few years ago when I was giving tours at the Utah Museum of Natural History in Salt Lake City. A fossil hunter near Kemmerer, Wyoming, had been quite surprised to find a small mammal while digging through layers of fossilized fish in
-
<|endoftext|>Re export or Re-exportation is a form of international trade in which a country exports goods previously imported from another country.⏎Okay, does this definition sound way too elaborate? Then for ease of understanding and usage, consider the following example to comprehend
-
brake pedal pressure denotes how much braking power is manual versus how much electrical energy is recaptured. This means that the harder the pedal is pressed, then the more effort is used to stop car
-
on my nightstand for several weeks. In my mind, it was going to be another book about visual learners and strategies for using images to increase engagement. I WAS WRONG. This book is different. It is not about visual learning;
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
- L13:506 excites
- L11:1350 excites
- L13:181 excites
- L13:2522 suppresses
- L10:2001 suppresses
- L12:279 excites
- L12:2623 suppresses
- L13:1147 excites
- L12:1524 suppresses
- L12:1604 suppresses
- L13:2919 suppresses words leading into a planned action
- L11:592 excites
- L13:2802 excites
- L12:1982 excites
- L7:104 suppresses
- L10:2602 suppresses
- L12:884 suppresses
- L10:1447 suppresses
- L12:515 suppresses
- L13:491 suppresses
- L12:282 suppresses
- L12:296 suppresses
- L12:949 excites
- L8:141 weakly suppresses
Feeds later layers
- L16:1287 excites
- L16:1514 excites
- L17:1448 excites
- L16:2762 excites
- L16:2550 suppresses
- L19:1938 excites
- L17:381 suppresses
- L15:1133 suppresses
- L18:1537 excites
- L18:2235 suppresses
- L15:2295 suppresses
- L16:1207 suppresses
- L17:2145 suppresses
- L16:403 suppresses
- L17:3024 excites
- L15:1513 excites
- L16:1567 excites
- L16:3023 suppresses
- L15:2627 suppresses
- L15:1642 suppresses
- L16:702 suppresses
- L15:2284 suppresses
- L15:2208 excites
- L16:2167 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
- RESULT
- result
- resulting
- EndInit
- iert
- ier
- offspring
- 结果
- lift
- 結果
Suppresses
- itu
- pré
- ksen
- ufs
- contractual
- ún
- fores
- posição
- SingleNode
- Roose