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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. 3-RES-JB
    11. 17625
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    Explanations

    references to specific religious denominations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific Christian denominations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )=(
    -0.80
    coat
    -0.78
     Runner
    -0.77
    repe
    -0.70
    rg
    -0.69
    kok
    -0.69
     Rove
    -0.68
    doors
    -0.67
    fare
    -0.67
    Skin
    -0.67
    POSITIVE LOGITS
     Episcopal
    1.26
     Methodist
    1.12
     Presbyterian
    1.07
     Church
    1.04
     Lutheran
    1.02
     church
    0.90
     clergy
    0.86
     pastor
    0.84
     missionary
    0.83
     Revival
    0.83
    Activations Density 0.008%

    No Known Activations