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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. 11-RES-JB
    11. 6836
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    Explanations

    mentions of specific dates or time periods

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to published research and studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebin
    -0.77
    .�
    -0.70
    ._
    -0.67
    because
    -0.67
    .''.
    -0.66
    unless
    -0.66
    .):
    -0.65
    .''
    -0.63
    "!
    -0.62
     ."
    -0.60
    POSITIVE LOGITS
     (),
    0.66
     sits
    0.65
     in
    0.64
    ?,
    0.64
     belongs
    0.63
    ,[
    0.62
    ,
    0.60
    *,
    0.60
    ,,
    0.59
     organised
    0.59
    Activations Density 0.542%

    No Known Activations