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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. 2-RES-JB
    11. 18556
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    Explanations

    the abbreviation "ep" followed by a number reflecting importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    multiple occurrences of the abbreviation "ep" throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -0.95
    ÙIJ
    -0.82
    WAYS
    -0.71
    berman
    -0.71
     Pru
    -0.68
    Favorite
    -0.68
    Ô
    -0.67
     Fields
    -0.67
    folk
    -0.66
    YA
    -0.65
    POSITIVE LOGITS
    iscopal
    1.11
    iphany
    1.07
    onymous
    1.03
     ep
    0.95
    oly
    0.94
    istle
    0.94
    hemer
    0.93
    otrop
    0.91
    oxy
    0.87
    op
    0.84
    Activations Density 0.004%

    No Known Activations