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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. 116959
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    Explanations

    references to heavy metals and arsenic

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

    metals and their contexts

    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
    rajz
    -0.54
    anze
    -0.53
     LARGE
    -0.49
    putExtra
    -0.49
    MLLoader
    -0.49
    exclusive
    -0.48
     APPRO
    -0.48
     Conroy
    -0.48
    HttpClientModule
    -0.48
    書房
    -0.48
    POSITIVE LOGITS
     metals
    1.54
     Metals
    1.53
    Metals
    1.38
    metals
    1.29
     metales
    0.99
     metais
    0.75
     металла
    0.59
     metallurgy
    0.57
     Metallurgy
    0.54
     medals
    0.49
    Activations Density 0.006%

    No Known Activations