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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    references to the city of Milan

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Milan

    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
    REE
    -0.81
    EY
    -0.74
    yll
    -0.72
    µ
    -0.71
    URR
    -0.70
    IELD
    -0.70
    BOOK
    -0.69
    ield
    -0.69
    ©¶æ
    -0.68
    cknowled
    -0.68
    POSITIVE LOGITS
     Milan
    1.27
    ovic
    0.95
     Marino
    0.91
    ienne
    0.81
    ovi
    0.79
    olini
    0.79
     Nadu
    0.78
    ovich
    0.78
    opolis
    0.77
     Karin
    0.77
    Activations Density 0.006%

    No Known Activations