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

    mentions of the city "Miami"

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Miami

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UGC
    -0.86
    ebook
    -0.79
    dy
    -0.74
    sg
    -0.71
    saf
    -0.70
    sed
    -0.69
    èĥ
    -0.69
    rd
    -0.69
    uably
    -0.68
    ivals
    -0.68
    POSITIVE LOGITS
     Dolphins
    1.13
     Marlins
    1.04
     Beach
    0.99
     Gardens
    0.92
     Miami
    0.84
     Hurricanes
    0.84
     Heat
    0.82
     Herald
    0.82
    ricanes
    0.77
    Miami
    0.76
    Activations Density 0.006%

    No Known Activations