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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20710
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    Explanations

    specific entities and terms such as 'wand' and 'translittere' and 'Rodman' or actions like 'rebuilding'

    oai_token-act-pair · gpt-3.5-turbo

    the presence of text breaks or empty sections in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     Seym
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     Niet
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    ayson
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     Moroc
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    enegger
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     vulner
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    atever
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     horizont
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    POSITIVE LOGITS
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    0.66
     ][
    0.62
     largeDownload
    0.61
     Reincarnated
    0.58
    \":
    0.56
    cloud
    0.54
    fml
    0.52
    gpu
    0.52
    displayText
    0.50
    zbollah
    0.50
    Activations Density 0.628%

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