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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. 142
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    INDEX
    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    dates and years in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    dates in news articles

    Explanation Uploaded by User
    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
    etheless
    -0.68
    EStreamFrame
    -0.67
    ktop
    -0.63
    cheat
    -0.62
    venge
    -0.60
    ggles
    -0.58
    xual
    -0.58
    framework
    -0.57
    peat
    -0.57
    eps
    -0.56
    POSITIVE LOGITS
    ,
    0.86
     alone
    0.83
     Newsweek
    0.71
    ,[
    0.67
     Nathaniel
    0.67
     Forbes
    0.64
     Ralph
    0.63
     Ronald
    0.63
     David
    0.62
     there
    0.62
    Activations Density 0.096%

    No Known Activations