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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. 8-RES-JB
    6. 12749
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    INDEX
    Explanations

    the word "berg" with varying levels of specificity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the suffix "berg"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FUL
    -0.72
    teenth
    -0.71
    BOOK
    -0.67
    fully
    -0.65
     ease
    -0.65
    pee
    -0.65
    pent
    -0.63
     referen
    -0.63
    perature
    -0.62
    lled
    -0.61
    POSITIVE LOGITS
    enegger
    1.11
    hetti
    1.06
    sburgh
    1.03
    stein
    1.00
    ersen
    0.97
    rade
    0.91
    s
    0.90
    sf
    0.88
    dor
    0.87
    roth
    0.86
    Activations Density 0.054%

    No Known Activations