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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 21538
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    Explanations

    mentions of specific geographic locations, specifically "Khan"

    oai_token-act-pair · gpt-3.5-turbo

    mention of the name "Khan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iculty
    -0.64
    PORT
    -0.64
     Wilmington
    -0.62
    cedes
    -0.60
    ources
    -0.60
     Kier
    -0.58
    ISION
    -0.57
     Pelosi
    -0.57
     ANGEL
    -0.57
     Vatican
    -0.56
    POSITIVE LOGITS
    istani
    1.16
    zeb
    0.92
    adesh
    0.91
     Noon
    0.88
    mare
    0.86
    uddin
    0.85
     Sheikh
    0.83
    abi
    0.83
    abal
    0.82
    patrick
    0.82
    Activations Density 0.037%

    No Known Activations