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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 13365
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    Explanations

    references to urban development and transportation infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tualmente
    -0.34
    Sw
    -0.34
    MigrationBuilder
    -0.34
    GEBURTSDATUM
    -0.33
     compositeur
    -0.33
    idoo
    -0.32
     Sw
    -0.32
     Sweater
    -0.31
     ederim
    -0.31
    lccn
    -0.31
    POSITIVE LOGITS
     Milwaukee
    1.41
    Milwaukee
    1.30
     Wisconsin
    1.10
    Wisconsin
    1.02
     WISCONSIN
    0.85
    WAUKEE
    0.82
     Racine
    0.82
    waukee
    0.81
     Wau
    0.75
     Wis
    0.75
    Activations Density 0.207%

    No Known Activations