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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. 4-RES-JB
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    Explanations

    terms related to religious figures or titles

    oai_token-act-pair · gpt-3.5-turbo

    references to saints and religious figures, particularly in the context of their roles and presence in society

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

    No Comments

    Negative Logits
    abet
    -0.67
    alez
    -0.67
     Cohn
    -0.65
     Dund
    -0.63
    USH
    -0.63
    ðĿ
    -0.63
    ipeg
    -0.63
    PP
    -0.62
    Ô
    -0.62
    ahn
    -0.61
    POSITIVE LOGITS
     nuns
    0.94
    abouts
    0.84
     Healer
    0.81
     Parables
    0.79
     convent
    0.79
     choir
    0.78
     monks
    0.76
     relics
    0.76
     priests
    0.76
     monastery
    0.75
    Activations Density 0.027%

    No Known Activations