Neuron Explorer

Qwen3-0.6B

"shown in" before a figure reference

A neuron in layer 22 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is 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 activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

  1. #1 peak

    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

  2. #2 peak

    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

  3. #3 peak

    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

  4. #4 peak

    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

  5. #5 peak

    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

  6. #6 peak

    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

Steering

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.

turned down a lot
Prompt

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.

  1. #1 peak

    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

  2. #2 peak

    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

  3. #3 peak

    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.

  4. #4 peak

    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 map

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Fed by earlier layers

  1. L19:2654 excites
  2. L17:1286 excites
  3. L21:1089 suppresses
  4. L21:2324 excites "in" after "shown" (figure references)
  5. L9:685 excites
  6. L21:1545 excites
  7. L10:2237 excites
  8. L18:1274 excites
  9. L10:2098 suppresses
  10. L9:1461 suppresses
  11. L7:1887 excites
  12. L8:2840 excites
  13. L0:2494 weakly excites middle pieces of split words
  14. L7:455 weakly suppresses
  15. L10:2664 weakly excites
  16. L4:1795 weakly excites "at least" phrase
  17. L20:1413 weakly excites
  18. L4:896 weakly suppresses
  19. L8:118 weakly excites
  20. L14:2546 weakly excites
  21. L0:199 weakly suppresses
  22. L10:1582 weakly suppresses
  23. L4:1295 weakly suppresses
  24. L6:1660 weakly suppresses

Feeds later layers

  1. L27:1122 suppresses
  2. L27:2066 excites
  3. L24:2043 suppresses
  4. L26:1175 weakly excites
  5. L26:2455 weakly excites
  6. L25:928 weakly excites
  7. L23:240 weakly excites
  8. L25:2952 weakly suppresses
  9. L27:296 weakly excites
  10. L26:3000 weakly suppresses
  11. L23:1150 weakly suppresses
  12. L24:1992 weakly excites
  13. L24:444 weakly excites
  14. L25:2810 weakly suppresses
  15. L23:349 weakly suppresses comma after author surname in citations
  16. L25:2158 weakly excites
  17. L27:2452 weakly suppresses
  18. L25:1682 weakly excites
  19. L27:1517 weakly suppresses
  20. L24:901 weakly suppresses
  21. L26:576 weakly suppresses
  22. L25:2053 weakly suppresses
  23. L25:1432 weakly suppresses
  24. L24:1653 weakly excites

Activation histogram

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.

1 values between -7.69 and -7.241 values between -5.91 and -5.461 values between -5.02 and -4.571 values between -3.68 and -3.241 values between -3.24 and -2.794 values between -2.35 and -1.906 values between -1.90 and -1.4615 values between -1.46 and -1.01100 values between -1.01 and -0.571084 values between -0.57 and -0.122262 values between -0.12 and 0.33382 values between 0.33 and 0.7728 values between 0.77 and 1.226 values between 1.22 and 1.664 values between 1.66 and 2.114 values between 2.11 and 2.551 values between 3.00 and 3.443 values between 3.44 and 3.891 values between 4.33 and 4.781 values between 5.22 and 5.671 values between 6.11 and 6.561 values between 9.67 and 10.12offnegativepositiveoften

Logit lens

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 layers instead.

Promotes

  1. figure
  2. fig
  3. figures
  4. figure
  5. fig
  6. Figures
  7. -figure
  8. figura
  9. (fig
  10. _fig

Suppresses

  1. table
  2. tables
  3. Table
  4. table
  5. -table
  6. TABLE
  7. →table
  8. TABLE
  9. _TABLE
  10. 表