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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 3512
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    references to specific vehicles involved in criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    лтемелер
    -0.48
    encodeWith
    -0.41
     déroule
    -0.41
     helg
    -0.41
    hede
    -0.38
     calendriers
    -0.38
    owo
    -0.38
    Atsauces
    -0.37
    تقاوى
    -0.37
     horizons
    -0.36
    POSITIVE LOGITS
     vehicles
    0.69
     Vehicles
    0.68
     cars
    0.68
     boat
    0.64
     vehicle
    0.62
     boats
    0.59
     trucks
    0.59
     jeep
    0.57
     automobiles
    0.57
    Vehicles
    0.57
    Activations Density 0.428%

    No Known Activations