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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. 8606
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    INDEX
    Explanations

    comparisons of quantities or likelihoods

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases related to likelihood and efficiency

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Mand
    -0.90
    elle
    -0.67
    dra
    -0.66
    DC
    -0.66
    DES
    -0.63
    RAW
    -0.62
    dec
    -0.62
    Eye
    -0.62
    Chart
    -0.62
    selection
    -0.62
    POSITIVE LOGITS
     than
    1.03
    than
    0.88
     Than
    0.83
    olesterol
    0.72
    acters
    0.71
    bilt
    0.71
    enegger
    0.69
     per
    0.67
    itsu
    0.65
    illion
    0.64
    Activations Density 0.091%

    No Known Activations