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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. 6-RES-JB
    6. 13881
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    Explanations

    references to the news organization CNBC

    oai_token-act-pair · gpt-3.5-turbo

    references to CNBC

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥł
    -0.71
    alities
    -0.70
     Templar
    -0.69
    ÑĮ
    -0.69
    itized
    -0.64
     Masquerade
    -0.64
    uments
    -0.63
    illard
    -0.62
    phans
    -0.62
    ________________________________
    -0.62
    POSITIVE LOGITS
     CNBC
    0.87
    elsius
    0.84
    nces
    0.77
    URRENT
    0.71
    quickShipAvailable
    0.71
    erity
    0.71
    ython
    0.69
    ulously
    0.69
    enhagen
    0.69
    OPLE
    0.68
    Activations Density 0.036%

    No Known Activations