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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 6192
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    Explanations

    names and classifications of various vehicles, especially amphibious and military types

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

    vehicles and watercraft

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     समीक्षक
    -0.69
     Bench
    -0.56
    :✨
    -0.56
    RetentionPolicy
    -0.56
    Bench
    -0.53
    calf
    -0.50
    OMC
    -0.49
    ImageContext
    -0.48
    exa
    -0.48
    uminense
    -0.47
    POSITIVE LOGITS
     vehicles
    0.56
     vehicle
    0.52
     aircraft
    0.50
     boat
    0.45
    vehicles
    0.42
     ship
    0.42
     helicopter
    0.41
     spaceship
    0.41
    fromnode
    0.40
     dirig
    0.40
    Activations Density 0.102%

    No Known Activations