closing quote marks after a quoted term
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. 1 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 responds to the punctuation that closes a quotation, like a full stop or comma placed inside a closing quote mark, and it reacts strongly against quote marks around a term such as 'Standard' or 'DOSBox'. The writing it produced when turned up did not clearly show this 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.
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uguese translation of 'discontent'⏎Copyright © 2014 by HarperCollins Publishers. All rights reserved.⏎Example Sentences Including 'discontent'⏎Marriage, discontent with home, desire for pastures new, departure.Time of
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th Circuit Court<|endoftext|>Restoring the past – York Minster⏎Tags: 'The Cathedral and Metropolitan Church of St. Peter', 'York Minster Revealed', 1230 - 1472,
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just one of an infinite number of universes that make up the "multiverse." In this show, Brian Greene takes us on a tour of this brave new theory
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ta⏎called a jubba. Both of these clothes are called "kurtas." In the state⏎of Andhra Pradesh, both of these options are common.
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is a blog post on how to hook up or connect your battery. This article will be broken into two parts, the "How-to" and the "Why." The How-to section features detailed instructions with illustrations, including what tools you'll need
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put forth a host of initiatives aimed at improving the region’s defense and security. These proposals are wide-ranging, covering areas from defense spending to a “European Army.” While efforts to create improvements in defense capabilities among European states are commendable, these
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: " " " and so on. " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " " "
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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and Configuration of Drupal⏎Open Browser and type “”http://Server-IP/drupal”” which will open below screen to configure Drupal. Select ‘Standard‘, click on Save and Continue.⏎Choose language, click on Save and Continue⏎
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it and paste it at the following path⏎Now open Run (ctrl+R) and type your command name(Here my command name is “DOSBox“) and hit enter, your application will open. Every time you can do that
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it. The German term for this type of game adds the word for “table”, “Tisch” (pronounce tish) to “Fußball“ – Tischfußball. Back in the day, you’d find those
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what you perceive as a German term – “Foosball” – is actually a misnomer and misspelled, at that. “Fußball“ (pronounce ‘foos-bull rhyming with “hull”)
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
- L0:178 suppresses
- L0:1224 suppresses
- L0:1301 suppresses
- L0:1690 weakly suppresses
- L0:1 weakly suppresses
- L0:2913 weakly suppresses
- L0:856 weakly excites
- L0:97 weakly excites
- L0:2818 weakly suppresses
- L0:749 weakly suppresses
- L0:517 weakly suppresses
- L0:952 weakly excites
- L0:37 weakly excites
- L0:318 weakly excites
- L0:2701 weakly suppresses
- L0:868 weakly suppresses
- L0:1023 weakly excites
- L0:1379 weakly excites
- L0:958 weakly excites
- L0:192 weakly excites
- L0:1814 weakly excites
- L0:1944 weakly suppresses
- L0:1674 weakly suppresses
- L0:2424 weakly excites
Feeds later layers
- L12:2977 weakly suppresses year in a written date
- L14:2625 weakly excites
- L20:2935 weakly excites
- L5:1367 weakly excites
- L14:2506 weakly suppresses
- L8:1996 weakly excites
- L2:1669 weakly suppresses
- L14:1288 weakly suppresses
- L10:818 weakly suppresses
- L5:471 weakly excites
- L19:1552 weakly excites
- L14:693 weakly suppresses
- L11:703 weakly suppresses
- L8:261 weakly suppresses
- L16:693 weakly suppresses
- L20:580 weakly suppresses
- L3:1056 weakly excites
- L12:767 weakly excites
- L12:2689 weakly suppresses
- L12:170 weakly excites
- L10:1816 weakly suppresses
- L18:219 weakly suppresses
- L20:1692 weakly excites
- L13:460 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
- ’am
- sing
- $")⏎
- ”)
- leştir
- 'am
- "`⏎
- Leap
- 花生
- ) ⏎
Suppresses
- icial
- inclusive
- ศาส
- 레이
- куп
- 皮肤
- ↑
- engr
- ори
- GFX