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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. 70515
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    INDEX
    Explanations

    species names and their classifications in a botanical context

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

    trees, shrubs, and tundra plants

    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
     defeats
    -0.58
     counter
    -0.58
    RTRS
    -0.58
     stanovnika
    -0.56
    outSlope
    -0.55
    defe
    -0.54
     Counter
    -0.52
    Counter
    -0.51
     defeating
    -0.51
    Література
    -0.50
    POSITIVE LOGITS
     aspen
    0.53
     birch
    0.53
    rungsseite
    0.52
     spruce
    0.47
     Arctic
    0.46
     tundra
    0.46
     Icelandic
    0.44
    Arctic
    0.44
     willow
    0.43
     willows
    0.42
    Activations Density 0.059%

    No Known Activations