end of a clause before a verb or 'to'
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. 22 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 when the text is about to continue with an action, like 'and' before 'type', 'to' before 'start', or 'using' after a tool name. When it was turned up, the model's writing got wandering and loose, with no clear theme.
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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:⏎- Interpersonal, project management, risk management and time management skills.⏎- Software development in Java using various web-development technologies.⏎Figure 1: Traceability User Interface⏎Back to
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ILEGES ON database_name.* TO user_name@localhost;⏎mysql> FLUSH PRIVILEGES;⏎Step 5: Installation and Configuration of Drupal⏎Open Browser and type “”http://Server-IP/drupal”” which will open below
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format is very clear. This means that their non-compliance may be accompanied by fines and other losses on the side of the project executor.⏎Don’t know where to start?⏎We will advise you on the best way to realize your idea, leveraging
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followed all the steps, you will see one shortcut on the desktop. Cut it and paste it at the following path⏎Now open Run (ctrl+R) and type your command name(Here my command name is “DOSBox“)
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given to you?⏎October 3rd, 2010, 12:50 PM⏎i started the homework⏎i dont know how to finish it here what i
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Select Debug >> Start without debugging (Ctrl+F5)⏎- For any runtime error, you can debug the program as follows:⏎- Select Debug >> Start debugging (F5)⏎- Please note that during debugging, the program will show and close the
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: when the "fog" in a "rural" or "farmed" village, from a local and informed and informed, "rural" and "farmed" in the "senses" of local, local and local
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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same output.⏎- Nearly Every Database supports available⏎One of the greatest features in PHP is its support for a wide range of databases, nearly every databases – MySQL, ORACLE, PostgreSQL, Sybase, Informix to name a few.⏎What
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⏎- proper n. The northern parts of Scandinavia and Finland with the Kola Peninsula in Russia, traditionally inhabited by the Sami people.⏎from WordNet 3.0 Copyright 2006 by Princeton University
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the server.⏎- PHP was created by Rasmus Lerdorf in 1995.⏎- Though PHP was originally known as Personal Home Page (PHP Tools), but, with the increase of its usefulness and
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or plate current flows in an electron tube. In the case of a transistor, it is the electrical angle during which the collector or drain current flows. For a class A amplifier, the operating angle is 360°. That is,
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
- L10:155 excites
- L7:92 excites
- L3:130 excites
- L2:24 suppresses
- L9:207 suppresses
- L15:184 excites
- L19:214 excites
- L21:158 excites
- L13:44 suppresses inside web addresses and citations
- L20:859 excites
- L8:328 excites
- L9:46 suppresses
- L4:342 weakly suppresses
- L4:92 weakly suppresses
- L11:840 weakly suppresses
- L4:76 weakly excites
- L11:223 weakly excites
- L4:42 weakly suppresses
- L5:7 weakly suppresses
- L10:556 weakly excites
- L19:400 weakly excites
- L10:1278 weakly suppresses
- L10:2230 weakly excites
- L18:1894 weakly excites
Feeds later layers
- L23:381 weakly excites
- L27:1219 weakly suppresses
- L23:2409 weakly suppresses
- L25:1838 weakly suppresses
- L26:687 weakly excites
- L25:2590 weakly suppresses
- L27:2775 weakly excites
- L24:2923 weakly suppresses
- L27:895 weakly excites
- L24:2987 weakly suppresses
- L24:223 weakly excites
- L24:738 weakly suppresses
- L24:154 weakly suppresses
- L25:1115 weakly excites
- L23:2911 weakly suppresses
- L23:377 weakly excites
- L23:2270 weakly excites
- L23:1881 weakly excites
- L26:1230 weakly excites
- L25:1330 weakly suppresses
- L24:2380 weakly excites
- L25:309 weakly excites
- L23:877 weakly suppresses
- L25:1149 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
- 料
- 工具
- 方面
- ylation
- ić
- ноп
- ewise
- 开
- 那边
- 蕊
Suppresses
- 刍
- ropy
- Verg
- udi
- utable
- undler
- #+#
- ="'.
- anga
- anza