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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. 4618
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    references to vehicles and their components

    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
     JpaRepository
    -0.47
    XmlAccessType
    -0.42
    তথ্যসূত্র
    -0.40
    jsii
    -0.36
     Gegend
    -0.33
     wikipagina
    -0.32
    sweise
    -0.32
     suelos
    -0.30
    CrossRef
    -0.29
    RetentionPolicy
    -0.29
    POSITIVE LOGITS
     vehicles
    2.27
     cars
    2.02
     vehicle
    1.97
    vehicles
    1.91
     Vehicles
    1.87
     trucks
    1.86
    Vehicles
    1.82
     boats
    1.76
     automobiles
    1.73
    vehicle
    1.69
    Activations Density 0.979%

    No Known Activations