the word before 'resolution' or 'solving'
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. 24 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 the word just before 'resolution' or 'solving', as in 'alternative dispute resolution' or 'problem solving'. When it was turned up, the model kept writing the word 'resolution' over and over.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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system has become over burdened due to explosion of litigation. There are several reasons for this. Such as urbanization and waning of non-judicial traditional dispute resolutions. This
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schools and universities, legal service providers, insurance carriers and corporations.⏎As individuals and businesses seek to avoid the delays, publicity and high costs inherent in litigation, alternative dispute resolution is
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sense of responsibility among team members as well as encouraging a greater sense of loyalty to the organization. Self-directed teamwork also fosters innovation and creativity.⏎Leadership and Problem Solving⏎Leadership teamwork is one type of teamwork that is essential to both
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January 11, 2012⏎Imagine this scenario. You have a great career and you are a star employee. You are talented, a problem solver and go out of your way to help co-workers. You do your job
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as you perform daily life skills that display teamwork, communication, time management, and conflict resolution.⏎- Go over typical workplace scenarios like asking for help or calling out sick
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others when using technology in the classroom.⏎- Use technology resources (e.g., puzzles, logical thinking programs, writing tools, digital cameras, drawing tools) for problem solving, communication, and illustration of thoughts, ideas, and stories.⏎- Gather
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: the fact that, under the current underpitaling, the young under the control of the young, and the young under the control of the young is a form of under control, and that under control is a form of under control,
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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up to date thanks to a 10 finger capacitive touch screen and 60 frames per second frame rate. It has the resolution of 800×480 pixels…⏎In this Tutorial I will show you
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of speech fun and challenging for the entire class.⏎PC: Windows XP and up⏎Mac: OS X (10.1) and up⏎Resolution: 800 x 600 or higher<|endoftext|>In response to the theme
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with the study of literature.<|endoftext|>The two Supreme Court cases, Jones v. City of Opelika 316 U.S
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(1) developing understanding of and applying proportional relationships; (2) developing understanding of operations with rational numbers and working with expressions and linear equations; (3) solving problems involving scale drawings and informal geometric constructions, and working. K Core Curriculum -
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
- L23:2904 suppresses
- L21:2467 suppresses
- L22:1153 suppresses
- L22:1484 suppresses
- L22:2709 suppresses
- L22:1863 suppresses
- L18:2199 suppresses
- L23:1780 excites
- L23:887 suppresses
- L21:1268 suppresses
- L21:1313 suppresses
- L21:1191 suppresses
- L18:2018 excites
- L23:2685 suppresses
- L20:1749 excites
- L22:1996 suppresses
- L3:1714 excites
- L20:1872 excites
- L5:1643 weakly suppresses
- L9:2637 weakly suppresses
- L20:1996 weakly suppresses
- L19:2220 weakly excites
- L6:2720 weakly suppresses
- L12:2602 weakly suppresses
Feeds later layers
- L27:1034 strongly excites
- L27:979 excites
- L26:2960 excites
- L25:654 weakly excites
- L26:1378 weakly excites
- L25:2122 weakly excites
- L25:2664 weakly suppresses
- L25:2659 weakly excites
- L26:2653 weakly excites
- L25:707 weakly excites
- L27:1445 weakly excites
- L27:1185 weakly excites
- L26:1344 weakly excites
- L26:2102 weakly excites
- L25:2084 weakly suppresses
- L26:2048 weakly suppresses
- L25:1981 weakly excites
- L25:1335 weakly excites
- L27:792 weakly suppresses
- L27:2863 weakly suppresses
- L27:2027 weakly excites
- L25:562 weakly suppresses
- L26:1998 weakly excites
- L27:1333 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
- resolution
- resolutions
- Resolution
- resolution
- resolve
- Resolution
- resolved
- resolves
- resolving
- _resolution
Suppresses
- 奄
- imony
- legen
- nemonic
- etak
- 腹
- nesia
- 斯基
- ammad
- 嚭