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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 111372
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    Explanations

    concepts related to identifying and analyzing populations, particularly in the context of risk and environmental factors

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

    hotspots and areas

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Dtor
    -0.41
     acceptable
    -0.40
    principalTable
    -0.39
    ніципалі
    -0.39
    まで
    -0.37
    Acceptable
    -0.36
     <>",
    -0.36
     unrelated
    -0.36
     verschiedene
    -0.36
     VARIOUS
    -0.36
    POSITIVE LOGITS
     prioritized
    0.82
     hotspots
    0.79
     besonders
    0.75
     areas
    0.75
     concentr
    0.74
     Concentrate
    0.73
     prioritize
    0.73
    ticularly
    0.72
     szczególnie
    0.72
     particuli
    0.71
    Activations Density 0.163%

    No Known Activations