the word "evidence"
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. 20 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 fires on the word "evidence" itself, especially in phrases like "strong evidence" or "found evidence". When it was turned up, the model wrote more about evidence and proof.
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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there is renewed enthusiasm for the drug. The 2008 NIH consensus statement regarding the use of hydroxyurea in patients with SCD cites strong evidence for the efficacy of the
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increase cervical cancer screening; six to improve the diagnosis and treatment of premalignant lesions of the cervix; one combined screening, diagnosis and treatment).⏎They found evidence that telephone support with navigation increases the rate of screening for cervical cancer in English-speaking
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ise it, participants focussed on a smaller area of the road ahead and failed to see hazards, even when they looked directly at them.⏎The researchers claim their evidence shows conversations may use more of the brain’s visual processing resources than previously understood.
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and are less likely to end up in jail. Growing up poor risks the development of a smaller cerebral cortex. But these are associations between poverty and development, not evidence that poverty causes these bad outcomes, says Kimberly Noble, a neuro
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tobacco use and receive advice to quit.⏎Members of several racial and ethnic minority populations bear a disproportionate share of the adverse health consequences of tobacco use. There is strong evidence that interventions, ranging from a health care worker’s brief advice to quit to extensive
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of the constant refrain that sun exposure causes cancer.⏎But like many things that we assume to be true because of constant repetition doesn’t really have a great deal of evidence to back it up.⏎Now there is evidence that sunburns are not only
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 first and second and then the first and the second, and then the first and the second and the first and the second... 2001, 121, 140, 2001,
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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another Crusade to Tunisia.⏎Credit: Catholic News Agency, https://www.catholicnewsagency.com/ Information herein posted under the "rules of fair use" to foster education and discussion in accordance with Section 107 of
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-style collaboration, would probably apply. Yet collaborative graphic design is not widespread in the Wiki world.⏎Image production vs. graphic design⏎It may be fair, in a sense, to conflate image production with graphic design. For example
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journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: ada
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the powerhouse of tools available in R’s caret package<|endoftext|>I just discovered a blog post by Ann M. Little, a historian at Colorado State University, expressing a fair amount of skepticism about the use of classroom response systems in humanities courses. There was
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
- L10:1076 excites
- L17:2694 suppresses
- L18:1563 excites
- L9:2489 excites
- L9:2075 suppresses
- L17:2224 excites
- L6:2004 excites
- L16:2714 weakly suppresses
- L14:1977 weakly suppresses
- L15:3055 weakly excites
- L1:2553 weakly excites
- L6:3007 weakly excites
- L17:1966 weakly excites
- L19:1097 weakly suppresses
- L10:1534 weakly excites
- L16:2091 weakly suppresses
- L18:2628 weakly excites
- L17:1529 weakly excites
- L17:2418 weakly excites
- L3:133 weakly excites
- L15:2767 weakly excites
- L5:114 weakly suppresses
- L0:2654 weakly excites
- L14:2868 weakly excites
Feeds later layers
- L23:2129 strongly excites
- L24:1890 excites
- L23:2562 excites
- L27:1710 excites
- L21:2911 excites
- L24:986 excites words before a 'suggests' style claim
- L25:1158 weakly excites
- L24:1739 weakly excites
- L27:1219 weakly excites
- L23:494 weakly excites
- L23:2984 weakly excites
- L24:1656 weakly excites
- L25:2509 weakly excites
- L21:2321 weakly suppresses
- L26:1731 weakly excites
- L24:1499 weakly excites
- L21:767 weakly excites
- L21:2986 weakly excites
- L23:1806 weakly excites
- L24:83 weakly excites the digit 1 starting a year
- L24:969 weakly suppresses
- L25:977 weakly excites
- L22:2151 weakly excites
- L22:2081 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
- prove
- evidence
- proof
- chứng
- 证据
- 证明
- argument
- convince
- proving
- arguments
Suppresses
- полнение
- azel
- olutions
- iol
- verture
- lescope
- complexion
- hiểm
- WB
- %'⏎