you and your in how-to addresses
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. 4 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 'you' or 'your' when a piece of writing speaks directly to the reader, as in instructions or calls to action. It is strongly negative on the 's in 'Here's', and turning it up did not produce an obvious change in the model's replies.
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.
-
Add your thoughts below. You can sign in with Google, Twitter, Facebook, Yahoo!
-
of the mark. You can do this by using a percentage calculator. You can use it to find the value of a number. Once you have the value, you can write it down in terms of the percent. It’s easy to do this
-
allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.<|endoftext|>Permanova’s knowledge centre for industrial lasers⏎
-
Pilot, your job as the Flight Test Instrumentation Engineer is to create gauges, cameras,
-
. © 2006 Elsevier Ltd. All rights reserved.<|endoftext|>Are you tired of being sick and tired of being sick and tired? Then, get in the driver’s seat on managing your health by adopting a new lifestyle. Join
-
stream. Then, I came face to face with flying creatures, fighting to get near me. I even endured webmakers spinning my hair into a shiny maze.⏎Where did I go? Into the woods, of course. Why? I wanted to
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: 1. 20000000000000000000000000000000000000000000
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
combination which merged was the C<|endoftext|>How lego does it today.⏎I found little information about Autodesk Maya being the 3D modeling software being used.⏎Here`s a blurb about their current design process :⏎Primary concept and development work takes place
-
can also be beneficial for children. Here’s how it works: With your child, choose a few categories for saving and budget
-
and history, including the Holocaust, are presented in Eastern Europe and the way African American (including slave) history and heritage are presented in the Charleston area.⏎Here's a brief essay I wrote, for the web site of the Drayton Hall
-
this spectacle, drawing on evidence gathered by NASA’s Galaxy Evolution Explorer and the Pan-STARRS1 telescope located in Hawaii. Here’s how NASA describes what you’re seeing in the clip above:⏎Some of the stellar
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
- L2:765 excites
- L3:524 weakly suppresses
- L3:1135 weakly excites
- L2:126 weakly excites
- L3:828 weakly suppresses
- L3:1306 weakly suppresses
- L2:36 weakly excites
- L1:2470 weakly suppresses
- L3:464 weakly excites
- L0:1677 weakly excites
- L2:75 weakly suppresses
- L0:2726 weakly suppresses
- L0:2976 weakly suppresses
- L1:1580 weakly excites
- L1:1014 weakly excites
- L3:487 weakly suppresses
- L3:342 weakly excites
- L3:774 weakly suppresses
- L0:3009 weakly suppresses
- L3:889 weakly suppresses
- L2:70 weakly excites
- L3:320 weakly excites
- L0:400 weakly suppresses
- L2:632 weakly excites
Feeds later layers
- L5:1620 suppresses
- L8:2382 weakly suppresses wording that leads into 'below' or 'find it'
- L9:2586 weakly suppresses
- L15:2701 weakly suppresses
- L10:590 weakly excites
- L21:2484 weakly excites
- L7:2507 weakly excites
- L22:1039 weakly excites
- L19:1475 weakly suppresses
- L9:2092 weakly suppresses
- L24:1948 weakly suppresses
- L12:2209 weakly suppresses
- L6:821 weakly suppresses
- L22:752 weakly excites
- L5:2927 weakly excites
- L13:1635 weakly excites
- L11:1693 weakly suppresses
- L20:1192 weakly suppresses
- L21:2872 weakly excites
- L17:2993 weakly suppresses
- L20:49 weakly suppresses
- L6:2167 weakly excites
- L20:1321 weakly suppresses
- L13:2326 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
- ilage
- IonicModule
- itative
- continued
- Nile
- uelle
- uguay
- ilinear
- ivariate
- ijo
Suppresses
- 给您
- çek
- ayan
- aan
- 教你
- 告诉你
- 给你
- list
- 把你
- 帮你