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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
    11. 13396
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    Explanations

    references to or mentions of clergy

    oai_token-act-pair · gpt-3.5-turbo

    references to clergy and related individuals

    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
     Tup
    -0.82
     Coca
    -0.69
     Cena
    -0.69
     Elvis
    -0.66
     McA
    -0.66
    matic
    -0.65
     CMS
    -0.64
     Jed
    -0.63
     WhatsApp
    -0.62
    lift
    -0.62
    POSITIVE LOGITS
    mares
    0.90
    redo
    0.80
    odiac
    0.78
    ontent
    0.76
    mare
    0.75
    oried
    0.74
    ured
    0.73
    mental
    0.73
    ornia
    0.73
    iliated
    0.72
    Activations Density 0.028%

    No Known Activations