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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    terms related to Jewish faith and practices

    oai_token-act-pair · gpt-3.5-turbo

    references to kosher practices and Jewish religious elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resp
    -0.92
     Hurricanes
    -0.76
     Deng
    -0.76
    eters
    -0.68
     Gutenberg
    -0.68
    76561
    -0.67
    ULTS
    -0.66
    asks
    -0.65
    Xi
    -0.65
    ifles
    -0.64
    POSITIVE LOGITS
     kosher
    1.32
     rabb
    1.12
     synagogue
    1.08
    osher
    1.03
     Judaism
    1.03
     rabbi
    1.02
     Torah
    1.00
    agogue
    0.91
    £ı
    0.88
    Semitism
    0.86
    Activations Density 0.008%

    No Known Activations