Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 928 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 4117 (C4 (Web Text))
Max Activating Token Index: 1023
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Full Text #0
Text #1
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Data Index: 1841 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #2
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Data Index: 440691 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #3
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Data Index: 482471 (C4 (Web Text))
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Text #4
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Data Index: 299316 (C4 (Web Text))
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Text #5
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Data Index: 557453 (C4 (Web Text))
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Text #6
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Data Index: 1183956 (C4 (Web Text))
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Text #7
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Data Index: 231981 (C4 (Web Text))
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Text #8
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Data Index: 408454 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #9
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Data Index: 232454 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #10
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Data Index: 506693 (C4 (Web Text))
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Full Text #10
Text #11
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Data Index: 306419 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 389752 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1122425 (C4 (Web Text))
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Text #16
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Data Index: 1225647 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #17
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Data Index: 167574 (C4 (Web Text))
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Text #18
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Data Index: 926022 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #19
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Data Index: 436775 (C4 (Web Text))
Max Activating Token Index: 1023
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