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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13573
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    Explanations

    topics related to laundry and washing machine usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⓧ
    -0.44
    DockStyle
    -0.35
     salud
    -0.32
    Filmographie
    -0.30
     Ruling
    -0.28
     conclusión
    -0.28
    DATABASE
    -0.28
     saludo
    -0.28
    <tfoot>
    -0.28
     muze
    -0.28
    POSITIVE LOGITS
     laundry
    1.55
     Laundry
    1.42
    laundry
    1.36
    Laundry
    1.33
     laund
    1.23
     washing
    1.19
     ironing
    1.16
     washer
    1.14
     laundering
    1.14
     Washing
    1.11
    Activations Density 0.204%

    No Known Activations