row and column words in grids and tables
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. 6 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 lights up on words that describe the layout of a table or grid, such as row, column, across, and vertical, especially in spreadsheet lookups and number puzzles. When it was turned up, the model kept drifting into talk about rows, columns and matrices.
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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puzzle challenges students to use the numbers provided to help them fill in the blank squares so that each number, 1 to 9, appears in every Column, Row, and Block of the completed puzzle.⏎Click for a
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UP (click here for more information).⏎What is a 2D lookup?⏎In many cases, you only look for a value in – let’s say – column A and return the
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general amount, divided by the letter and the number of the cell with the percentage.⏎But for Excel to perform the calculation, this must be placed in the cell where we want the result.<|endoftext|>Designing home landscapes to be: Ecologically rich
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3rd rows show cells that have been treated with ASOs. The red dye is nearly all
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and development; women<|endoftext|>There are many cases in which you need a 2 dimensional lookup. That means, if you want to get a value from a specific row-column combination with neither rows or
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UN committee asked the Australian Government to report back to it in detail in the<|endoftext|>Discover the words hidden in the grid, written through one another in eight horizontal, vertical and diagonal directions. Select words by clicking on the first and last letters, 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: when are you, kid? The question is, are you in the mood to come? Okay, the answer is... well, the answer is... wait, the answer is... the answer is... the answer is... the answer is...
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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major work that tried to put the Revolution into a broader political and social framework.⏎See E. Chill, Power, Property, and History: Barnave's Introduction to the French Revolution and Other Writings (1971).⏎The Columbia
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example:⏎s1 = 'Hello, this is Tom's laptop' >>> Output: >>> s1 = 'Hello, this is Tom's laptop' File "", line 1 s1 = 'Hello, this is Tom's laptop'⏎```The
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19barn). It is estimated neutrino cross-section for interaction increases linearly with energy of incident neutrino.⏎Reference: Griffiths, David, Introduction to Elementary Particles, Wiley, 1987.⏎See also: Ant
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0, $20, $50, and $100 denominations.⏎Adding money is easy as long as it is remembered that money is added in the same way that decimals are added. Money is represented as a decimal, with
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
- L3:2336 excites
- L5:102 excites
- L5:94 weakly suppresses
- L5:28 weakly excites
- L3:2044 weakly excites
- L5:158 weakly suppresses
- L5:110 weakly suppresses
- L5:133 weakly excites
- L2:126 weakly excites
- L3:1924 weakly suppresses
- L5:141 weakly excites
- L5:2036 weakly suppresses
- L0:1607 weakly suppresses
- L5:169 weakly excites
- L5:117 weakly excites
- L0:3010 weakly excites
- L5:86 weakly suppresses
- L3:2310 weakly excites
- L4:783 weakly suppresses
- L2:45 weakly excites
- L4:540 weakly excites
- L5:60 weakly excites
- L5:2938 weakly suppresses
- L4:1767 weakly suppresses
Feeds later layers
- L19:1324 excites
- L10:1200 excites
- L7:2701 excites
- L7:1606 excites
- L7:2918 excites
- L11:2966 excites
- L7:2118 suppresses
- L12:2937 excites
- L9:3012 excites
- L22:1053 weakly excites
- L9:2527 weakly excites
- L9:1729 weakly excites
- L11:1270 weakly excites
- L9:1095 weakly excites
- L9:812 weakly excites
- L10:1709 weakly suppresses
- L8:1631 weakly excites
- L8:2167 weakly suppresses
- L8:1593 weakly excites
- L23:1781 weakly excites
- L15:2545 weakly suppresses
- L7:2997 weakly excites
- L17:2351 weakly suppresses
- L9:882 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
- newRow
- COLUMN
- (column
- (rank
- оф
- ROW
- rif
- COLUMN
- rowIndex
- nrows
Suppresses
- gether
- ้าง
- pliant
- 概念
- itational
- Concepts
- ubectl
- ragments
- plier
- 保留