zero before a decimal point
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 fires on the zero in numbers that start with a decimal, like '0.71' or '0.805'. It mostly reacts to the zero before the dot, and turning it up made the model repeat short words like 'I' and 'The' over and over, which does not clearly relate to numbers.
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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to directly correlate the LLCCs length to the diameter of the inner tubes and determine the optimal diameter for the high yield growth of carbyne (about 0.71 nm). Our approach of HV high temperature annealing has a great
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generating the stress field. Layers dips by 20-degree increments, with differing elastic moduli, represented by stiffness ratios (EU/EL) ranging from 0.01 to 100. Our findings validate prior research on heterogeneous
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people testing highly positive for the peanut antibodies, tiny proteins made by the body when exposed to the allergens. About 1 percent were allergic to shrimp, 0.4 percent were allergic to eggs and 0.2 percent were allergic to
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where c = (10/9)2 ≈ 1.2 and x = (9/10)log102 ≈ 0.97. The expected number of powers of 2 without zeroes starting from
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, at least near the surface, over the entire region. The methods being developed use airborne hyperspectral and multi-spectral high-resolution imagery and very high resolution (0.<|endoftext|>Components of population growth⏎Information identified as archived is provided for reference,
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CI = 1.618-2.398), while fewer manifested fever (p = 0.046, OR = 0.758, 95% CI = 0.57
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 only way to increase my understanding of the world is to understand its natural and mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental mental
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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10⏎Disruption of the right temporoparietal junction with transcranial magnetic stimulation reduces the role of beliefs in moral judgments⏎A great article in PNAS:<|endoftext|>In this chapter we present a model for the design of a conversation
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cells; that it wreaks havoc on the bodies of patients is unsurprising. But chemo may also affect their unborn children. According to a new study in PNAS, the offspring of mice treated with chemotherapy have higher rates of mutation, even
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ma said. “That’s the potential of this technology.”⏎Results from the initial ICU study were published Thursday in the medical journal PLOS ONE. The OSU researchers have applied for FDA emergency use authorization and hope
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2 students learn to tell and write time from analog and digital clocks to the nearest five minutes, using a.m. and p.m.⏎Common Core: 2.MD.7⏎
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
- L22:332 suppresses
- L21:1735 excites
- L23:585 excites
- L17:128 excites
- L19:258 suppresses
- L22:342 suppresses
- L15:12 excites
- L13:33 excites
- L21:110 excites
- L23:1452 weakly suppresses
- L20:225 weakly suppresses
- L21:1536 weakly suppresses
- L20:509 weakly excites
- L14:2346 weakly suppresses
- L15:2051 weakly suppresses
- L21:395 weakly excites
- L8:20 weakly suppresses
- L22:767 weakly suppresses
- L17:148 weakly suppresses
- L18:546 weakly suppresses
- L23:630 weakly excites
- L19:660 weakly suppresses
- L13:1756 weakly suppresses
- L16:35 weakly excites 'not' in 'but not limited to'
Feeds later layers
- L26:316 strongly excites
- L25:294 strongly excites
- L25:1135 strongly excites
- L27:25 suppresses
- L26:373 suppresses
- L27:319 excites
- L27:1011 excites
- L26:11 suppresses
- L26:276 suppresses
- L26:943 excites
- L26:593 excites
- L26:887 weakly excites
- L26:654 weakly excites
- L25:1463 weakly suppresses
- L26:1169 weakly excites
- L25:1090 weakly suppresses
- L27:2608 weakly suppresses
- L26:62 weakly suppresses
- L27:569 weakly suppresses
- L26:1391 weakly excites
- L27:366 weakly excites
- L25:2155 weakly suppresses
- L25:1159 weakly suppresses
- L26:273 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
- .
- .xxx
- .X
- .xx
- .f
- .x
- enci
- .d
- .o
- .l
Suppresses
- iginal
- ear
- 销
- 銷
- اقل
- worthy
- 렴
- igua
- 可靠的
- прос