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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. 9614
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    specific ecological and biological terms related to aquatic environments and wetlands

    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
     виправивши
    -0.73
    Personendaten
    -0.72
    :✨
    -0.69
    RenderAtEndOf
    -0.69
    MigrationBuilder
    -0.66
    WebElementEntity
    -0.66
     насељу
    -0.65
    principalColumn
    -0.63
    contentLoaded
    -0.61
    fjspx
    -0.61
    POSITIVE LOGITS
    EnableWeb
    0.36
     cremallera
    0.34
     acoper
    0.31
    wnątrz
    0.31
     revêtement
    0.31
     polvere
    0.30
    ulihan
    0.30
     profondità
    0.30
     resultaten
    0.30
     sortant
    0.29
    Activations Density 0.331%

    No Known Activations