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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 67291
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    Explanations

    references to action movies and their characteristics

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

    action movies and shows

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     længere
    -0.45
    isamment
    -0.42
     perlas
    -0.41
    LIBRA
    -0.41
     maternidade
    -0.41
     diariamente
    -0.39
     porcelaine
    -0.39
    Lila
    -0.38
     læng
    -0.38
     guten
    -0.38
    POSITIVE LOGITS
     martial
    0.58
    RenderAtEndOf
    0.52
     bodyguard
    0.50
    SequentialGroup
    0.48
     firearms
    0.48
     movies
    0.47
    weapons
    0.46
     macho
    0.45
     sequels
    0.45
     weapons
    0.44
    Activations Density 0.027%

    No Known Activations