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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 6989
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    specific references to baseball players and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     censiti
    -0.49
    rungsseite
    -0.43
    pushFollow
    -0.42
    HomeAsUpEnabled
    -0.37
     Roskov
    -0.36
    reh
    -0.32
     compet
    -0.32
    modelName
    -0.32
    XmlAccessorType
    -0.32
    Soorten
    -0.31
    POSITIVE LOGITS
     stadium
    1.11
     seats
    1.01
     seating
    0.92
    stadium
    0.92
     Seats
    0.91
    Seats
    0.87
     arena
    0.84
     Seating
    0.84
    Stadium
    0.83
    seats
    0.83
    Activations Density 0.191%

    No Known Activations