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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. 9-RES-JB
    6. 14572
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    INDEX
    Explanations

    providing or receiving something, such as information, money, opportunities, or chances

    oai_token-act-pair · gpt-3.5-turbo

    nouns or proper nouns related to sports, politics, or societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asha
    -0.82
     Cosponsors
    -0.71
    taboola
    -0.68
    gra
    -0.66
    è¦
    -0.66
    edu
    -0.64
    velt
    -0.63
    col
    -0.63
    awaru
    -0.62
    wcsstore
    -0.61
    POSITIVE LOGITS
     permission
    0.95
     plenty
    0.86
     ample
    0.86
     something
    0.82
     a
    0.78
     nightmares
    0.78
     valuable
    0.78
     access
    0.77
     dearly
    0.77
     an
    0.77
    Activations Density 0.408%

    No Known Activations