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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5115
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    Explanations

    references to different types of trucks and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "Pickup" or "GMC" followed by related tokens

    np_acts-logits-general · gemini-2.0-flash

    pickup trucks and GMC vehicles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    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
    SharedCtor
    -0.39
     Fiorentina
    -0.38
    клопе
    -0.38
    #![
    -0.35
    ➩
    -0.32
    WithIOException
    -0.31
     salmón
    -0.31
     Gebä
    -0.31
     abbra
    -0.31
     Rimini
    -0.30
    POSITIVE LOGITS
    Truck
    0.66
     TRUCK
    0.66
    truck
    0.64
    expandindo
    0.63
     Pickup
    0.63
     truck
    0.63
    trucks
    0.63
     Truck
    0.62
    chieht
    0.62
     trucks
    0.62
    Activations Density 0.151%

    No Known Activations