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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 5279
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    Explanations

    references to different types and uses of wood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ExecuteAsync
    -0.62
     linkovi
    -0.52
    OGND
    -0.51
    ValueStyle
    -0.51
    íqu
    -0.50
    afficheront
    -0.47
     cáps
    -0.46
    كويكب
    -0.46
     مرئيه
    -0.46
    RenderAtEndOf
    -0.45
    POSITIVE LOGITS
     wood
    1.54
     Wood
    1.33
    Wood
    1.20
     wooden
    1.19
     WOOD
    1.18
     timber
    1.13
    wood
    1.13
     Wooden
    1.09
    wooden
    1.09
    WOOD
    1.05
    Activations Density 0.204%

    No Known Activations