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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    references to the ancient city of Rome

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Rome."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ether
    -0.85
    `
    -0.68
     jumper
    -0.68
    ////////////////
    -0.63
    can
    -0.63
     DK
    -0.62
    KK
    -0.62
    utenant
    -0.61
     SK
    -0.61
     PK
    -0.61
    POSITIVE LOGITS
     Rome
    3.85
     Athens
    1.76
    Italy
    1.75
     Romans
    1.74
     Italy
    1.73
     Venice
    1.67
     Naples
    1.65
     Vatican
    1.63
     Constantinople
    1.60
     Florence
    1.59
    Activations Density 0.012%

    No Known Activations