"shown in" before a figure reference
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. 22 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 "in" in phrases like "as shown in" or "is shown in", where the next word is almost certainly "Figure". When it was turned up, the model kept talking about figures and figure captions, and when it was turned down, it talked about tables instead.
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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as Poisson’s equation. Geometry is assumed to be circular and windings are modeled as current sheets placed on the core surface. The induction machine geometry is shown in Figure 2. Poisson’s equation is solved analytically for geometry and
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the linear movement as far as possible. Based on the analysis of the tooth surface cutting movement, the revolution and rotation of the blade are further analyzed, as shown in the figure.<|endoftext|>Source: The Independent – independent.co.uk⏎Up, Up
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several phases on the stator. The rotor is toothed and made of metal, but is not permanently magnetized. A simplified variable reluctance stepping motor is shown in Figure 2. In this figure, the rotor has four teeth and the st
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AC circuit in which there is a phase angle of ϕ between VRMS and IRMS and voltage is assumed to be leading the current by ϕ as shown in the phasor diagram (Figure 4.55).⏎Now, IR
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sample. It is a very sensitive technique that requires a very high vacuum (10-9~10-11 mbar). As schematically shown in Figure 1, a pulsed beam of primary ions (usually Cs or Ga
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colored glass (usually red), to make lights monochromatic. The lamp is connected to a battery source through an ammeter and a rheostat as shown in the figure.⏎The optical pyrometer works in a certain simple
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 table table* table* table*…* table* with a table* table* table*…* table* table*…*…*…*…*…*…*…*…*…*…*…*
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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Statistics (NCES)|⏎|Create your own graphs online: bar graphs, line graphs, area graphs, pie charts, or XY graphs (line, bubble, or scatter plots from Cartesian coordinates). Enter your own data, choose your own labels
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a boundary line between Spanish territory and the United States.⏎After the Louisiana Purchase in 1803, Pres. Thomas Jefferson argued that Florida was included in Louisiana. In
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connecting a time-limit fuse across the trip coil terminals i.e. in parallel. This fuse should have an inverse time current characteristic and will normally carry the CT secondary current to by-pass the trip coil.
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phase windings. The rotor carries no winding rather it is either Permanent Magnet or Ferromagnetic Material. The Stepper Motors are manufactured with steps per revolution of 12, 24, 72, 144,
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
- L19:2654 excites
- L17:1286 excites
- L21:1089 suppresses
- L21:2324 excites "in" after "shown" (figure references)
- L9:685 excites
- L21:1545 excites
- L10:2237 excites
- L18:1274 excites
- L10:2098 suppresses
- L9:1461 suppresses
- L7:1887 excites
- L8:2840 excites
- L0:2494 weakly excites middle pieces of split words
- L7:455 weakly suppresses
- L10:2664 weakly excites
- L4:1795 weakly excites "at least" phrase
- L20:1413 weakly excites
- L4:896 weakly suppresses
- L8:118 weakly excites
- L14:2546 weakly excites
- L0:199 weakly suppresses
- L10:1582 weakly suppresses
- L4:1295 weakly suppresses
- L6:1660 weakly suppresses
Feeds later layers
- L27:1122 suppresses
- L27:2066 excites
- L24:2043 suppresses
- L26:1175 weakly excites
- L26:2455 weakly excites
- L25:928 weakly excites
- L23:240 weakly excites
- L25:2952 weakly suppresses
- L27:296 weakly excites
- L26:3000 weakly suppresses
- L23:1150 weakly suppresses
- L24:1992 weakly excites
- L24:444 weakly excites
- L25:2810 weakly suppresses
- L23:349 weakly suppresses comma after author surname in citations
- L25:2158 weakly excites
- L27:2452 weakly suppresses
- L25:1682 weakly excites
- L27:1517 weakly suppresses
- L24:901 weakly suppresses
- L26:576 weakly suppresses
- L25:2053 weakly suppresses
- L25:1432 weakly suppresses
- L24:1653 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
- figure
- fig
- figures
- figure
- fig
- Figures
- -figure
- figura
- (fig
- _fig
Suppresses
- table
- tables
- Table
- table
- -table
- TABLE
- →table
- TABLE
- _TABLE
- 表