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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 country of Nepal

    oai_token-act-pair · gpt-3.5-turbo

    references to Nepal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =#
    -0.79
    tower
    -0.77
    hips
    -0.76
    gotten
    -0.73
    istration
    -0.73
    Thumbnail
    -0.72
    iveness
    -0.71
    houses
    -0.71
    products
    -0.70
    nings
    -0.69
    POSITIVE LOGITS
     Nepal
    1.17
     Pradesh
    1.02
    ayan
    0.98
     Nep
    0.94
     nep
    0.86
     Kath
    0.84
     Himal
    0.79
     Airways
    0.77
     Everest
    0.76
     insurgency
    0.74
    Activations Density 0.006%

    No Known Activations