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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. 4-RES-JB
    11. 19383
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    INDEX
    Explanations

    mentions of specific names like Martha, Lyndon Johnson, Oprah Winfrey, and Brigham Young

    oai_token-act-pair · gpt-3.5-turbo

    names of historical and influential figures

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

    No Comments

    Negative Logits
    awaru
    -1.01
    reci
    -0.90
    deck
    -0.87
    upid
    -0.83
    haw
    -0.80
    err
    -0.79
    unction
    -0.79
    bye
    -0.78
    onet
    -0.77
    asper
    -0.77
    POSITIVE LOGITS
     Lyndon
    0.84
     Bain
    0.82
     Cage
    0.80
     Harding
    0.77
     Roosevelt
    0.74
     Kennedy
    0.73
     Walton
    0.72
     Hort
    0.71
     ILCS
    0.70
     Hin
    0.68
    Activations Density 0.018%

    No Known Activations