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    1. Home
    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. 3288
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    Explanations

    phrases related to various positions or roles within different organizations or institutions

    oai_token-act-pair · gpt-3.5-turbo

    topics related to governance and political structures

    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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    Negative Logits
    Sund
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    osite
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    oret
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    GW
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    Ô
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     Samar
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    reek
    -0.49
    okin
    -0.47
    ãĥ³ãĤ¸
    -0.47
    Nar
    -0.47
    POSITIVE LOGITS
    .''.
    0.99
     respectively
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    .
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    .''
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    .[
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    *.
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    .).
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    ãĢĤ
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    .(
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    )).
    0.81
    Activations Density 1.851%

    No Known Activations