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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2975
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    Explanations

    mentions of wood and wooden materials

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

    "wood" or "wooden"

    np_acts-logits-general · gemini-2.0-flash

    words and compounds starting with wood

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.56
    GEBURTSDATUM
    -0.42
     gier
    -0.40
     poř
    -0.36
     raça
    -0.36
     desierto
    -0.35
     חיצוניים
    -0.35
     invasión
    -0.35
    Datuak
    -0.34
     leão
    -0.34
    POSITIVE LOGITS
     Wood
    0.97
    Wood
    0.97
     wood
    0.93
     WOOD
    0.90
    wood
    0.82
    WOOD
    0.77
     Holz
    0.75
     Timber
    0.71
     Wooden
    0.70
     woodpecker
    0.68
    Activations Density 0.079%

    No Known Activations