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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. 2-RES-JB
    6. 9628
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    Explanations

    mentions related to milk

    oai_token-act-pair · gpt-3.5-turbo

    references to milk or dairy products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.77
     compr
    -0.72
    BOOK
    -0.69
     Warriors
    -0.69
    IELD
    -0.65
     Unch
    -0.63
    ORTS
    -0.63
     agony
    -0.63
     Fear
    -0.62
    agents
    -0.60
    POSITIVE LOGITS
    isec
    1.06
    waukee
    1.04
    ksh
    1.00
    ieu
    0.97
     mil
    0.97
    imet
    0.91
    enium
    0.87
    vin
    0.86
    creen
    0.83
    mil
    0.82
    Activations Density 0.004%

    No Known Activations