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

    references to religious institutions, specifically the word "Church" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various churches

    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
    assetsadobe
    -0.77
     sab
    -0.69
    buff
    -0.69
     4096
    -0.67
     nib
    -0.66
    ItemImage
    -0.65
     MAD
    -0.64
     knockout
    -0.64
    ulously
    -0.63
     aval
    -0.63
    POSITIVE LOGITS
     Church
    3.63
    Church
    2.78
     church
    2.56
     Churches
    2.27
    church
    2.11
     churches
    1.87
     Cathedral
    1.79
     LDS
    1.73
     Episcopal
    1.72
     Catholic
    1.72
    Activations Density 0.013%

    No Known Activations