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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. 6551
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    INDEX
    Explanations

    references to religious figures, specifically cardinals

    oai_token-act-pair · gpt-3.5-turbo

    references to Cardinals and their significance in various contexts

    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
    elling
    -0.79
    orship
    -0.76
    bring
    -0.74
    hov
    -0.72
    anooga
    -0.72
    skirts
    -0.71
    ipeg
    -0.70
    ////////////////
    -0.70
    yrinth
    -0.70
    bang
    -0.70
    POSITIVE LOGITS
     Cardinal
    1.03
     cardinal
    0.96
     Archbishop
    0.90
    itary
    0.80
     Francis
    0.78
     princes
    0.74
     priests
    0.74
     Patriarch
    0.73
     bishops
    0.73
     Newman
    0.72
    Activations Density 0.008%

    No Known Activations