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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 11448
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    Explanations

    unspecified entities or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    questions or inquiries about various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Ninth
    -0.65
     Clarkson
    -0.65
     Cohen
    -0.64
     MacArthur
    -0.63
     Kahn
    -0.62
     Berk
    -0.61
     Hert
    -0.61
     Fleming
    -0.59
     Wr
    -0.58
     spont
    -0.58
    POSITIVE LOGITS
     ][
    1.02
    _
    0.94
    quickShipAvailable
    0.91
    utils
    0.88
    redients
    0.85
     =>
    0.82
    Offline
    0.81
     )]
    0.81
    ql
    0.81
    gpu
    0.80
    Activations Density 0.179%

    No Known Activations