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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. 1-RES-JB
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    Explanations

    phrases related to religious practices, particularly prayer

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pray" and its variations

    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
    transfer
    -0.81
    Beer
    -0.76
     Flavoring
    -0.73
    à¸
    -0.72
    sports
    -0.70
    Thom
    -0.70
    ìĿ
    -0.69
    Ale
    -0.69
    AW
    -0.68
    POR
    -0.67
    POSITIVE LOGITS
     pray
    1.17
     prayed
    1.15
     praying
    1.14
     prayers
    1.03
     prayer
    1.02
    asca
    0.81
    hammad
    0.80
     aloud
    0.78
     mant
    0.78
     scripture
    0.78
    Activations Density 0.007%

    No Known Activations