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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. 0-RES-JB
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    Explanations

    mentions of the Chicago Cubs baseball team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Chicago Cubs and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Samar
    -0.81
    aine
    -0.81
    gae
    -0.78
    uran
    -0.68
    mary
    -0.68
    Frag
    -0.68
    ontent
    -0.66
     Reincarnated
    -0.66
    URA
    -0.64
    ESH
    -0.63
    POSITIVE LOGITS
     Cubs
    2.38
     cocoa
    1.13
     Houth
    1.04
     Ney
    1.01
     Knicks
    1.00
     Osw
    1.00
     Fields
    0.98
     Nak
    0.94
    Cub
    0.91
     blockade
    0.90
    Activations Density 0.038%

    No Known Activations