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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. 12404
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    Explanations

    specific details related to vehicles and their movement in various contexts

    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
    XmlAccessType
    -0.44
     JpaRepository
    -0.41
    তথ্যসূত্র
    -0.39
    :✨
    -0.36
    jsii
    -0.34
     puertos
    -0.33
    mybatisplus
    -0.33
    arraycopy
    -0.32
     Gegend
    -0.32
    protoimpl
    -0.32
    POSITIVE LOGITS
     vehicles
    2.14
     cars
    1.99
     vehicle
    1.90
    vehicles
    1.80
     trucks
    1.79
     Vehicles
    1.77
    Vehicles
    1.72
     automobiles
    1.66
     boats
    1.65
    vehicle
    1.63
    Activations Density 1.088%

    No Known Activations