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

    distances measured in miles

    oai_token-act-pair · gpt-3.5-turbo

    references to distances or measurements, particularly in miles

    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
    */(
    -0.78
     ABS
    -0.74
    ificial
    -0.65
    aina
    -0.60
     Outbreak
    -0.60
    ifiers
    -0.60
    abulary
    -0.60
    comes
    -0.60
    itals
    -0.60
    ivia
    -0.59
    POSITIVE LOGITS
    mile
    0.96
     Cheong
    0.83
    hoe
    0.82
     mile
    0.79
    cano
    0.78
    agy
    0.73
    20439
    0.71
    fen
    0.71
    strument
    0.69
    cart
    0.69
    Activations Density 0.003%

    No Known Activations