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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. 10-RES-JB
    6. 16843
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    INDEX
    Explanations

    time intervals indicated by numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time intervals or frequencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artisan
    -0.82
    usky
    -0.68
    ategy
    -0.68
    isky
    -0.67
    trak
    -0.66
     Flavoring
    -0.65
    itech
    -0.64
    agall
    -0.63
    archment
    -0.63
    quished
    -0.62
    POSITIVE LOGITS
     seconds
    1.07
     minutes
    1.06
     centimeters
    0.95
     clicks
    0.92
     mins
    0.91
     milliseconds
    0.91
     kilometres
    0.88
     cents
    0.85
    ths
    0.85
     kilometers
    0.85
    Activations Density 0.034%

    No Known Activations