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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. 5-RES-JB
    6. 9426
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    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    temporal references or indicators related to time and duration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Tray
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    mosp
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    WAR
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    nar
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     Roose
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     bre
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    Ble
    -0.40
     TOUR
    -0.40
    Var
    -0.40
     Sync
    -0.40
    POSITIVE LOGITS
    .''.
    0.70
     onwards
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    .
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    ãĢĤ
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    .'
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    é¾įå¥ij士
    0.59
     guiActiveUnfocused
    0.59
    .[
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    '.
    0.55
    Activations Density 0.941%

    No Known Activations