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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. 23940
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    INDEX
    Explanations

    descriptive elements related to visual and sensory experiences

    oai_token-act-pair · gpt-3.5-turbo

    descriptions and expressions of admiration related to artistic elements

    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
    erenn
    -0.70
    ursday
    -0.67
    requires
    -0.65
    erve
    -0.65
    æ³
    -0.63
    ember
    -0.62
    ](
    -0.62
    ently
    -0.62
    icient
    -0.61
    LOG
    -0.60
    POSITIVE LOGITS
     the
    0.89
     how
    0.87
     those
    0.77
    the
    0.74
     everything
    0.71
     lack
    0.71
     their
    0.70
    those
    0.67
     its
    0.63
     glances
    0.63
    Activations Density 0.421%

    No Known Activations