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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11088
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    Explanations

    terms related to vehicle interior features and upholstery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :✨
    -0.57
     initComponents
    -0.54
    RTGC
    -0.54
     useAppContext
    -0.53
     betweenstory
    -0.52
    matchCondition
    -0.49
    Jereo
    -0.49
    ConstraintMaker
    -0.47
    achios
    -0.47
    ienti
    -0.47
    POSITIVE LOGITS
     seats
    0.94
     seat
    0.90
     Seats
    0.87
    Seats
    0.85
    seats
    0.82
    seat
    0.82
    Seat
    0.81
     Seat
    0.79
     chairs
    0.65
     chair
    0.61
    Activations Density 0.255%

    No Known Activations