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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    mentions of the sports team "Giants" in the context of sports articles

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Giants" in a sports context

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

    No Comments

    Negative Logits
    ively
    -0.87
    ller
    -0.76
    icut
    -0.75
    lly
    -0.75
    orship
    -0.75
    xual
    -0.72
    mble
    -0.72
    staking
    -0.72
    utic
    -0.71
    nces
    -0.71
    POSITIVE LOGITS
     Giants
    1.03
    iants
    0.90
     Raiders
    0.87
     Jets
    0.79
     Coliseum
    0.76
     Cowboys
    0.76
     Stadium
    0.73
     Lions
    0.73
     NFC
    0.72
     Bears
    0.71
    Activations Density 0.007%

    No Known Activations