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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

    references or mentions of the Vatican

    oai_token-act-pair · gpt-3.5-turbo

    references to the Vatican and its officials

    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
    served
    -0.79
    ãģ¦
    -0.79
    lasses
    -0.79
    mental
    -0.78
    resp
    -0.78
    awks
    -0.78
    pring
    -0.78
    Haw
    -0.75
    nesota
    -0.73
    eworld
    -0.73
    POSITIVE LOGITS
     Vatican
    0.94
    arium
    0.87
    Leaks
    0.83
     pope
    0.80
     Patriarch
    0.77
     brass
    0.76
     Embassy
    0.76
     bureaucracy
    0.74
    itary
    0.73
     Assassins
    0.73
    Activations Density 0.008%

    No Known Activations