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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 8530
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    references to military and space vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    encodeWith
    -0.38
    💼
    -0.35
    Referințe
    -0.35
    folgen
    -0.35
    bledon
    -0.34
     którzy
    -0.34
    WriteBarrier
    -0.34
     الصحية
    -0.33
    toContain
    -0.33
     curso
    -0.33
    POSITIVE LOGITS
     vehicles
    0.75
     boat
    0.68
     cars
    0.68
     vehicle
    0.66
     Vehicles
    0.66
     boats
    0.65
     ambulances
    0.59
     trucks
    0.58
     VEHICLE
    0.58
     ambulance
    0.57
    Activations Density 0.438%

    No Known Activations