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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1336 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

Max Range: 0.0289. Min Range: -0.0289

Max Act: 0.0289. Min Act: -0.0003

Data Index: 17136 (C4 (Web Text))

Max Activating Token Index: 134

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Truncated

Full Text #0


Text #1

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Max Act: 0.0278. Min Act: -0.0003

Data Index: 356114 (C4 (Web Text))

Max Activating Token Index: 302

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Truncated

Full Text #1


Text #2

Max Range: 0.0289. Min Range: -0.0289

Max Act: 0.0267. Min Act: -0.0003

Data Index: 340628 (C4 (Web Text))

Max Activating Token Index: 916

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Truncated

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Text #3

Max Range: 0.0289. Min Range: -0.0289

Max Act: 0.0267. Min Act: -0.0003

Data Index: 953225 (C4 (Web Text))

Max Activating Token Index: 253

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Truncated

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Text #4

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Max Act: 0.0273. Min Act: -0.0002

Data Index: 1327385 (C4 (Web Text))

Max Activating Token Index: 93

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Truncated

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Text #5

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Max Act: 0.0266. Min Act: -0.0003

Data Index: 675660 (C4 (Web Text))

Max Activating Token Index: 556

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Truncated

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Text #6

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Max Act: 0.0273. Min Act: -0.0003

Data Index: 764393 (C4 (Web Text))

Max Activating Token Index: 86

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Truncated

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Text #7

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Max Act: 0.0267. Min Act: -0.0003

Data Index: 1271097 (C4 (Web Text))

Max Activating Token Index: 72

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Truncated

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Text #8

Max Range: 0.0289. Min Range: -0.0289

Max Act: 0.0265. Min Act: -0.0003

Data Index: 1496106 (Python Code)

Max Activating Token Index: 276

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Truncated

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Text #9

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 280655 (C4 (Web Text))

Max Activating Token Index: 914

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Truncated

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Text #10

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Max Act: 0.0257. Min Act: -0.0003

Data Index: 454131 (C4 (Web Text))

Max Activating Token Index: 864

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Truncated

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Text #11

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Max Act: 0.0256. Min Act: -0.0003

Data Index: 875129 (C4 (Web Text))

Max Activating Token Index: 212

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Truncated

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Text #12

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Max Act: 0.0254. Min Act: -0.0003

Data Index: 136954 (C4 (Web Text))

Max Activating Token Index: 790

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Truncated

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Text #13

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Max Act: 0.0253. Min Act: -0.0003

Data Index: 1464844 (Python Code)

Max Activating Token Index: 35

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Truncated

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Text #14

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Max Act: 0.0250. Min Act: -0.0003

Data Index: 671252 (C4 (Web Text))

Max Activating Token Index: 827

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Truncated

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Text #15

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Max Act: 0.0254. Min Act: -0.0003

Data Index: 1064484 (C4 (Web Text))

Max Activating Token Index: 734

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Truncated

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Text #16

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Max Act: 0.0253. Min Act: -0.0003

Data Index: 1572054 (Python Code)

Max Activating Token Index: 322

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Truncated

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Text #17

Max Range: 0.0289. Min Range: -0.0289

Max Act: 0.0247. Min Act: -0.0003

Data Index: 1212643 (C4 (Web Text))

Max Activating Token Index: 900

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Truncated

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Text #18

Max Range: 0.0289. Min Range: -0.0289

Max Act: 0.0246. Min Act: -0.0003

Data Index: 589800 (C4 (Web Text))

Max Activating Token Index: 746

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Truncated

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Text #19

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Max Act: 0.0245. Min Act: -0.0003

Data Index: 1339671 (C4 (Web Text))

Max Activating Token Index: 682

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