unclear: calculus notation, mixed topics
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 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 is mixed. It fires a little on calculus notation, such as derivatives of F(x), and on some unrelated phrases like solid oxide fuel cells. It is strongest in the negative direction on the 2 in a derivative, but the pattern is not clear and steering showed nothing consistent.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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in a circle⏎(C) 2009 Copyright Math Open Reference. All rights reserved<|endoftext|>Use chain rule⏎F'(x) = dF(x)/dx = (dF(x)/dx2)(dx2/dx
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recycling. PNNL's system includes fuel cell stacks developed earlier with the support of DOE's Solid State Energy Conversion Alliance.⏎"Solid oxide fuels cells are a promising technology for providing clean, efficient energy. But, until
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are somewhat disparate. The process is illustrated using a single, simple differential equation:⏎Integrate this equation from t = 0 to t = 1. The exact solution can be found by quadrature and is⏎To use MATLAB we first construct
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alveolus. The alveoli are tiny air sacs within the lungs where the exchange of oxygen and carbon dioxide takes place.⏎Last Editorial Review: 6/14/2012⏎Back to Med
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be powered with a new, small-scale solid oxide fuel cell system that achieves up to 57 percent efficiency, significantly higher than
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most protection against life-threatening conditions, such as cancer and heart disease? Next best is salad, then fruit.⏎Remember that if you have a health insurance or life
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: $ f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t) f(t
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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variable upper limit it gives you the function being integrated.⏎Thus (because the lower limit doesn't play any role being a constant number)⏎dF(x)/dx2 = √(1 + t3) where t = x2 (2
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,⏎- times the derivative of sine of 5x with respect to 5x, that's just going to be cosine of 5x.⏎
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So du could be equal to -- so du/dx (derivative of u with respect to x),⏎- well we just use the chain rule. Derivative of 5x is 5
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his data during the 1769 transit of Venus, he was not exonerateed until a century later when the renowned American astronomer Simon Newcomb found Hell's readings to be correct, his scholarship above suspicion and his accusers
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
- L4:1803 weakly suppresses
- L3:1303 weakly excites
- L3:1083 weakly suppresses
- L3:2280 weakly suppresses
- L2:1710 weakly suppresses
- L3:105 weakly excites
- L2:2779 weakly suppresses
- L2:2161 weakly excites
- L2:1003 weakly excites
- L4:2930 weakly suppresses
- L1:300 weakly excites
- L1:1246 weakly suppresses "word" after a language origin phrase
- L0:178 weakly suppresses
- L4:1873 weakly excites
- L0:1224 weakly suppresses
- L4:2871 weakly excites
- L1:2759 weakly suppresses
- L3:2861 weakly excites
- L4:12 weakly suppresses
- L4:1488 weakly excites
- L0:1301 weakly suppresses
- L0:188 weakly excites
- L3:1921 weakly suppresses
- L1:967 weakly suppresses equals sign in code assignments
Feeds later layers
- L26:1051 suppresses
- L12:968 weakly suppresses 'of' after geographic nouns
- L16:475 weakly suppresses
- L6:98 weakly excites
- L8:2289 weakly excites
- L8:2393 weakly suppresses
- L20:2912 weakly suppresses
- L7:2767 weakly suppresses
- L16:330 weakly suppresses
- L8:2357 weakly suppresses
- L22:2927 weakly suppresses
- L19:971 weakly suppresses
- L22:2709 weakly suppresses
- L10:1829 weakly excites
- L22:581 weakly excites
- L9:116 weakly excites
- L23:450 weakly excites unclear: raccoon name fragments
- L14:2753 weakly excites
- L18:1161 weakly excites
- L16:2899 weakly excites
- L12:1503 weakly suppresses
- L10:1225 weakly excites
- L23:2557 weakly suppresses
- L14:680 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
- 嫁
- 嫁给
- pen
- ose
- union
- sürü
- fuse
- choose
- ase
- sexual
Suppresses
- 分彩
- uncan
- lastIndex
- academics
- iland
- ivre
- testCase
- JFactory
- BarController
- FixedUpdate