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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 924
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    INDEX
    Explanations

    technical information such as manufacturer names, dates, and categories

    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers and classifications associated with products or entities

    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
    teenth
    -0.82
    zag
    -0.73
    DERR
    -0.69
    inth
    -0.68
    udence
    -0.61
    driving
    -0.60
    keyes
    -0.60
    rams
    -0.59
    kus
    -0.59
    otomy
    -0.59
    POSITIVE LOGITS
     Unknown
    1.07
     TBA
    1.01
     Description
    0.95
    :
    0.92
     unknown
    0.91
    âĢİ
    0.82
     Enemies
    0.79
     TBD
    0.79
    ="
    0.77
     Released
    0.77
    Activations Density 0.122%

    No Known Activations