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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 149 in Layer 1

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-12l')

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Text #0

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 572551 (C4 (Web Text))

Max Activating Token Index: 9

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Text #1

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Max Act: 0.0168. Min Act: -0.0002

Data Index: 689943 (C4 (Web Text))

Max Activating Token Index: 139

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Text #2

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 48248 (C4 (Web Text))

Max Activating Token Index: 30

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Text #3

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Max Act: 0.0161. Min Act: -0.0002

Data Index: 791898 (C4 (Web Text))

Max Activating Token Index: 617

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Truncated

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Text #4

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 270718 (C4 (Web Text))

Max Activating Token Index: 12

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Truncated

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Text #5

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 99275 (C4 (Web Text))

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Text #6

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Data Index: 927567 (C4 (Web Text))

Max Activating Token Index: 18

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Truncated

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Text #7

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Data Index: 788627 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 767400 (C4 (Web Text))

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Text #9

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Data Index: 1338435 (C4 (Web Text))

Max Activating Token Index: 328

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Truncated

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Text #10

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Data Index: 913377 (C4 (Web Text))

Max Activating Token Index: 433

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Truncated

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Text #11

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Data Index: 805784 (C4 (Web Text))

Max Activating Token Index: 232

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Truncated

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Text #12

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Data Index: 1237093 (C4 (Web Text))

Max Activating Token Index: 282

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Text #13

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Data Index: 999481 (C4 (Web Text))

Max Activating Token Index: 192

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Text #14

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Data Index: 1199635 (C4 (Web Text))

Max Activating Token Index: 308

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Text #15

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Data Index: 1379438 (Python Code)

Max Activating Token Index: 882

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Text #16

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Data Index: 1629976 (Python Code)

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Text #17

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Data Index: 347374 (C4 (Web Text))

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Text #18

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Max Act: 0.0147. Min Act: -0.0002

Data Index: 579063 (C4 (Web Text))

Max Activating Token Index: 149

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Truncated

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Text #19

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Data Index: 1124469 (C4 (Web Text))

Max Activating Token Index: 97

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