colon in clock times
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 very consistent: they mostly 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 lights up on the colon in clock times and dates, such as 10:, 01:32 or 8:19 PM. When it was turned up, the writing drifted into unrelated topics, so the steering results don't show a clear link to times.
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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dream up the basic elements of the classroom of the future using design thinking. Great example of a school-business partnership.⏎- Design & Thinking Official Trailer (02:28)⏎Design & Thinking is a documentary released this year about design thinking.
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.)⏎Keep watching the player below to see the rest of the playlist, or view it on YouTube.⏎- d.school Bootcamp: The Student Experience (03:14)⏎Stanford's d.school is another heavy lifter in the world
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rode an Orbital Sciences-built Pegasus XL booster into to orbit at 4:26 p.m. EDT (2026 GMT, 1:26 p.m. PDT), after falling free from its parent aircraft while flying
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Moon will be full on Tuesday night, April 7, 2020, appearing opposite the Sun (in Earth-based longitude) at 10:
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actorial.shtml I don't happen to think that the code there is easily understandable though...⏎January 10th, 2004 01:32 AM⏎Tim_axe, sorry to be pedantic, but if
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of the Marquis de Armijo.<|endoftext|>Thread: FNG methods of attack question⏎05-06-2006, 05:45 PM #1⏎FNG methods of attack question⏎I read this
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: I don't want to want to be a man of the law, or a man of science, or a man of science science, or a man of a different interest. I want to be a man of a different interest, which I
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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in the Tbilisi Declaration. Like the Belgrade Charter, the Tbilisi Declaration also considers
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EP) were the next to state the purpose of EE. In October 1977, the world’s first intergovernmental conference took place in Tbilisi, Georgia. Together, the two organizations developed the roles, objectives, characteristics
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72, the Tbilisi Declaration was adopted in 1977 as the official guidelines concerning environmental
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carry significant costs for garment production companies, large and small. New standards may be well intended but these costs to garment production companies also have a negative effect on Bangladeshi laborers.⏎Large international companies can afford the higher overhead costs associated with
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
- L23:2066 excites colon in clock times
- L0:268 suppresses
- L23:2992 suppresses unclear: first pieces of split words
- L21:2037 weakly excites
- L22:2729 weakly excites
- L23:775 weakly excites
- L20:1262 weakly suppresses
- L23:206 weakly suppresses
- L19:998 weakly excites
- L23:2572 weakly suppresses
- L2:2476 weakly suppresses
- L19:1929 weakly suppresses timestamps and dates in text
- L23:1906 weakly excites
- L1:2141 weakly excites
- L2:1618 weakly suppresses
- L8:1491 weakly excites
- L14:2078 weakly excites
- L5:2421 weakly excites
- L20:727 weakly excites
- L14:2650 weakly excites
- L1:1162 weakly suppresses
- L5:2736 weakly excites
- L7:279 weakly suppresses
- L19:936 weakly excites
Feeds later layers
- L26:905 strongly suppresses
- L27:1087 suppresses
- L27:496 suppresses
- L26:880 suppresses
- L27:893 suppresses
- L25:147 suppresses
- L26:898 suppresses
- L27:572 suppresses
- L25:677 excites the digit 1 in years like 1500s
- L26:976 suppresses the '1' starting a century
- L25:1613 suppresses
- L27:763 suppresses
- L27:1100 suppresses
- L25:2029 suppresses
- L27:628 suppresses
- L25:333 suppresses
- L26:3066 weakly suppresses
- L25:342 weakly excites
- L25:58 weakly excites colon in clock times
- L26:294 weakly suppresses
- L26:327 weakly suppresses
- L25:2383 weakly suppresses
- L27:678 weakly excites
- L25:2519 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
- 的压力
- pressured
- 닝
- темпер
- 压力
- สด
- 壓力
- press
- ration
- pressures
Suppresses
- nine
- six
- seven
- seven
- Seventh
- Seven
- seventh
- nine
- Nine
- VII