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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1380
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    Explanations

    references to the term "Brown," particularly in various contexts related to folklore and mythology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.81
    transQ
    -0.76
    InitVars
    -0.65
     plufieurs
    -0.65
    <unused21>
    -0.65
    <unused52>
    -0.65
    <unused74>
    -0.65
    <unused28>
    -0.65
    [@BOS@]
    -0.65
    <unused8>
    -0.65
    POSITIVE LOGITS
     Brown
    0.97
    Brown
    0.88
     BROWN
    0.84
     brown
    0.73
    BROWN
    0.72
    brown
    0.69
     Browns
    0.65
     Browne
    0.63
    brow
    0.61
     BROW
    0.60
    Activations Density 0.086%

    No Known Activations