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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. 13217
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    INDEX
    Explanations

    quantitative information related to various metrics such as numbers, percentages, and figures

    oai_token-act-pair · gpt-3.5-turbo

    data related to statistics and numerical trends in various contexts

    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
     Canaver
    -0.68
     Doing
    -0.62
    fman
    -0.59
     Penal
    -0.58
    entious
    -0.58
    cause
    -0.56
    rament
    -0.55
    rir
    -0.55
     ILCS
    -0.55
     Dund
    -0.54
    POSITIVE LOGITS
     varies
    1.55
     exceeds
    1.38
     outweigh
    1.26
     depends
    1.25
     differs
    1.24
     dwind
    1.22
     vary
    1.21
     decreased
    1.20
     differed
    1.15
     increased
    1.15
    Activations Density 0.358%

    No Known Activations