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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. 8-RES-JB
    11. 24465
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    INDEX
    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating numerical performance metrics or statistics involving ratios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Piper
    -0.69
    vir
    -0.60
    skirts
    -0.60
    icum
    -0.59
    sal
    -0.58
    esa
    -0.55
     beginnings
    -0.54
     glimps
    -0.54
    mobile
    -0.53
     dressing
    -0.53
    POSITIVE LOGITS
    pmwiki
    0.71
    fig
    0.69
    aughs
    0.65
    Downloadha
    0.62
    Reply
    0.62
    aceae
    0.60
    ongs
    0.60
    ifact
    0.59
    PI
    0.59
     Alley
    0.58
    Activations Density 0.093%

    No Known Activations