the word 'human' in science text
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. 5 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 word 'human' when it appears in medical and biology writing, such as 'human tumors' or 'human cells'. Turning it up made the model's output drift toward unrelated text and did not produce a clear 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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pathogens. Low doses of CpG injected into a tumor induce the expression of OX40 on CD4+ T cells in the microenvironment in mouse or human tumors. An agonistic anti-OX40 antibody can then trigger a T
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into both neurons, which extended axons into the host spinal cord over remarkably long distances, and glia. Grafts of cultured human NSCs expressing GFP resulted in similar findings. Thus, methods are defined for improving
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Fig. 1. Electron microscopy of the viral-like particles generated by the Phoenix provirus transfected into human 293T cells. The prominent spikes of the Env protein are visible
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istochemical of paraffin-embedded human ovary tumor using 10201-2-AP (ub
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Norris Cotton Cancer Center (NCCC) Mechanism Research Program.⏎There is a lack of mouse cell lines that harbor the BRAF mutation that is so prevalent in human melanomas, and the cell lines that are available grow slowly in culture and are
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of each patient's tumor and to develop new therapeutic targets.⏎In their study, Kim and her colleagues looked at mouse models of the three most commonly mutated genes in human lung cancer -- K-RAS and p53 (two genes predominantly mutated in
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 letters of the day, the month, and the day of the month. For example, the first letter '1' (day 1) of the month) of the month, the first letter of the month,
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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ackles, European starlings, American robins and house sparrows appear to be the most affected.⏎"Transmission electron microscopy and additional diagnostic tests, including microbiology, virology, parasitology and toxicology are ongoing," the Kentucky
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tools to measure whether the intervention or medication works. A new study by researchers at the UC Davis MIND Institute and other institutions suggests that the NIH Toolbox Cognition Battery (NIHTB-CB) is a promising option. The study found the
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detect biomolecules of interest without requiring the additional use of an optical label. They used a tightly focused laser to drill holes through a 100-nanometer-thick layer of gold deposited on a 100-nanometer-th
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efforts, SFWMD field crews constructed a 140-foot weir and flow-way channel to move water from the J.W. Corbett Wildlife
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
- L4:2867 weakly excites
- L2:2546 weakly suppresses
- L3:37 weakly suppresses
- L4:1150 weakly suppresses
- L1:2803 weakly suppresses
- L2:1946 weakly suppresses
- L2:2521 weakly excites
- L2:2737 weakly suppresses
- L3:963 weakly suppresses
- L3:184 weakly excites
- L4:512 weakly excites
- L1:370 weakly excites
- L4:2582 weakly suppresses
- L2:192 weakly excites
- L4:1698 weakly suppresses
- L3:146 weakly suppresses
- L1:1476 weakly suppresses
- L4:526 weakly suppresses
- L3:1387 weakly suppresses
- L2:1905 weakly excites
- L3:1259 weakly suppresses
- L3:499 weakly suppresses
- L3:604 weakly suppresses
- L3:378 weakly excites
Feeds later layers
- L7:390 excites
- L23:803 excites
- L6:452 excites
- L8:794 excites
- L7:558 excites
- L7:304 weakly excites
- L13:586 weakly excites
- L7:1334 weakly excites
- L10:650 weakly excites
- L8:657 weakly excites
- L13:196 weakly excites
- L7:2362 weakly excites
- L9:2587 weakly excites
- L11:230 weakly excites
- L10:802 weakly excites
- L9:2916 weakly excites
- L6:1389 weakly excites
- L8:416 weakly excites
- L17:1195 weakly excites
- L18:2371 weakly excites
- L8:1037 weakly excites
- L23:3062 weakly excites the word 'age' in age groups
- L6:151 weakly excites
- L19:790 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
- /test
- testdata
- ้ง
- poon
- assium
- víct
- 所有人
- test
- specimens
- ,test
Suppresses
- remen
- _STANDARD
- 菲尔
- celestial
- 在里面
- minster
- arg
- ịnh
- agr
- はじめ