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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    written text related to the name "Swain"

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the word "Sw" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ifer
    -0.81
    Ïī
    -0.74
    LOD
    -0.73
    itia
    -0.72
    nikov
    -0.72
    ima
    -0.72
    istical
    -0.71
    igure
    -0.69
    ibus
    -0.69
    inelli
    -0.67
    POSITIVE LOGITS
     Sw
    3.68
    Sw
    2.37
    sw
    1.94
     sw
    1.88
     SW
    1.60
    SW
    1.47
     Swan
    1.41
     Swap
    1.38
     Swe
    1.38
     Swift
    1.32
    Activations Density 0.005%

    No Known Activations