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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. 11-RES-JB
    11. 126
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    Explanations

    words related to religious institutions, specifically the word "church."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of churches and religious institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rog
    -0.69
    ../
    -0.66
    DonaldTrump
    -0.65
     Paste
    -0.65
     guiName
    -0.64
    /**
    -0.61
     Yak
    -0.61
     Novel
    -0.61
     Ake
    -0.60
    nir
    -0.60
    POSITIVE LOGITS
    yard
    1.39
    goers
    1.18
    yards
    1.17
     congregation
    1.10
     choir
    1.06
    esan
    1.00
    going
    0.99
     bells
    0.97
     church
    0.95
    church
    0.94
    Activations Density 0.051%

    No Known Activations