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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. 9568
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    INDEX
    Explanations

    references to different centuries, especially the 20th century

    oai_token-act-pair · gpt-3.5-turbo

    references to specific historical periods and their significance

    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
    wat
    -0.67
    rawdownloadcloneembedreportprint
    -0.61
     SAN
    -0.61
     cheat
    -0.61
     NV
    -0.58
    hift
    -0.58
     Faust
    -0.58
     conve
    -0.57
     Frey
    -0.56
    anamo
    -0.55
    POSITIVE LOGITS
    ixties
    1.16
    th
    1.14
    teenth
    1.00
    XX
    0.97
     twenties
    0.90
    %"
    0.88
    ties
    0.88
    century
    0.87
    eteenth
    0.87
    eties
    0.86
    Activations Density 0.068%

    No Known Activations