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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 13299
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    Explanations

    mentions of diverse animal species and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Futter
    -0.39
    muerzo
    -0.37
     Evangelio
    -0.36
     orejas
    -0.36
     Sucher
    -0.35
     Vordergrund
    -0.35
    ciendo
    -0.34
    fastjson
    -0.34
     rodillas
    -0.34
    AutoScale
    -0.34
    POSITIVE LOGITS
     deer
    1.08
     rabbits
    1.02
     ducks
    1.00
     pigeons
    0.97
     moose
    0.95
     monkeys
    0.95
     bears
    0.93
     foxes
    0.93
     squirrels
    0.92
     turtles
    0.91
    Activations Density 0.646%

    No Known Activations