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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 13653
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographic locations or cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    thood
    -0.87
    oldemort
    -0.82
    requires
    -0.81
    utics
    -0.79
    DragonMagazine
    -0.78
    lain
    -0.78
    rss
    -0.77
    uden
    -0.76
    netflix
    -0.76
    */(
    -0.75
    POSITIVE LOGITS
     Institute
    0.90
     skyline
    0.84
     Gazette
    0.83
     edition
    0.82
     version
    0.81
     Observer
    0.80
     Police
    0.79
     Herald
    0.78
     Bureau
    0.78
     Tribune
    0.78
    Activations Density 0.237%

    No Known Activations