the word 'operation' and its forms
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. 3 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 lights up on the word 'operation' and related forms like 'operating' and 'operations', especially in business, medical and school contexts. Turning it up did not bring out that theme 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.
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Conversion of Truth Into Necessity. D. Moshman, The Development of Metalogical Understanding. W.M. Gray, Formal Operational Thought. J.S. Black, W.F. Overton, Reasoning,
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⏎- Economics and Econometrics⏎- Organizational Behavior and Human Resource Management<|endoftext|>- About ASTI⏎- Pay and Conditions⏎- ASTI Membership⏎- Operation of Schools⏎While work experience can offer students valuable experience of employment and the workplace
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school board, and was the first Chief of the Fire Department. His Sunbury Road home was a stop on the Underground Railroad.⏎Johann Christian Heyl operated a hostelry at Rich and High streets for 28 years in the early
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decision-making within organizations and is best known for the theory of “bounded rationality” and the theory of “satisficing.” He applied psychology to statistics, operations, and decision-making scenarios to help define the process that people go through when form
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of work⏎- Quality solution with 100% plagiarism free answers⏎- Time on Delivery⏎- Privacy of information and details⏎- Excellence in solving Operations Management questions in excels and word format.⏎- Best tutoring assistance 24
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studies made on freeways in Houston, Dallas and Fort Worth, Texas.⏎Research was conducted in the following areas: operation and capacity, freeway volume control, lane use and placement, entrance ramps and weaving
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 role of a student of the old world, and the fact that I am a student of the new world. So, maybe, I have a lot of things, but now, I am also a student of something else. So,
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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a male to being ranked #1 in the nation when competing as a female.⏎In 2018, Connecticut's high school state champion and state runner up in the womens' 100-meter dash were both biological males who identify
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gardeners often disturb when raking up mulch or renovating garden beds. Females often carry their egg sacs
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. Cally Harper, a doctoral student at Brown University, along with a team of researchers, set out to better understand how bats use their tongues when lapping up nectar. Scientists have known that they have hairy-looking tongues; the hairs are
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overlooked data sources and to improved techniques in using well-known data. The emphasis is on sources and methods that analysts can use in their own work. Researchers often run into knotty data problems involving data interpretation or manipulation that must be solved before a project
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 weakly suppresses
- L0:1301 weakly suppresses
- L0:759 weakly excites
- L2:122 weakly excites
- L2:1494 weakly suppresses
- L1:1973 weakly suppresses
- L0:2619 weakly suppresses
- L0:2316 weakly suppresses
- L2:2773 weakly excites
- L2:41 weakly suppresses
- L2:2328 weakly suppresses
- L2:356 weakly excites
- L2:2047 weakly excites
- L2:2002 weakly suppresses
- L2:49 weakly suppresses
- L1:853 weakly excites
- L2:542 weakly excites
- L2:1657 weakly excites
- L1:491 weakly excites
- L2:2473 weakly suppresses
- L0:521 weakly suppresses
- L2:2202 weakly excites
- L2:2695 weakly excites
Feeds later layers
- L4:2379 excites
- L4:1211 weakly excites
- L27:1319 weakly excites
- L22:46 weakly excites
- L26:1676 weakly excites
- L7:2713 weakly excites
- L17:93 weakly excites
- L8:2443 weakly excites unclear: body harm and skin wear
- L10:1615 weakly suppresses
- L5:1947 weakly excites
- L4:1619 weakly excites
- L9:1406 weakly excites
- L14:2477 weakly suppresses
- L25:1604 weakly excites
- L12:1801 weakly suppresses
- L13:2605 weakly suppresses opening parenthesis after a measurement
- L8:2357 weakly excites
- L9:1195 weakly suppresses
- L21:1565 weakly excites
- L19:2074 weakly excites
- L16:1081 weakly suppresses
- L8:2827 weakly suppresses
- L4:2966 weakly excites
- L6:1184 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
- (operation
- Operator
- operator
- eci
- (operator
- băng
- Де
- startIndex
- 操作
- Operators
Suppresses
- ountain
- ramid
- clad
- 第一书记
- bei
- componentWill
- `.
- ammer
- %D
- 非要