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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14356
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    INDEX
    Explanations

    elements related to shaving practices and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    shaving and razors

    np_acts-logits-general · gemini-2.0-flash

    shaving, razor, beard

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tonode
    -0.56
     للمعارف
    -0.48
    StructEnd
    -0.48
    fastjson
    -0.47
    CGRectMake
    -0.47
     cloche
    -0.47
    rungsseite
    -0.46
    openConnection
    -0.45
    reicher
    -0.43
    jeune
    -0.42
    POSITIVE LOGITS
     shaving
    1.23
     shave
    1.17
     beard
    1.03
     shaved
    0.95
     beards
    0.90
     razor
    0.87
    剃
    0.85
     Beard
    0.84
    Beard
    0.77
    髭
    0.77
    Activations Density 0.087%

    No Known Activations