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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. 52059
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    Explanations

    references to "Woods" and its variations in text

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

    woods and nature locations

    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
    ArgumentParser
    -0.51
    Rüyada
    -0.51
     MEC
    -0.46
    neb
    -0.45
    DIPSETTING
    -0.45
    MEC
    -0.44
    ContentLoaded
    -0.43
     sonne
    -0.41
     Delegate
    -0.41
    adalupe
    -0.41
    POSITIVE LOGITS
     Woods
    1.64
    Woods
    1.56
     Tiger
    0.60
    INCREF
    0.56
     woods
    0.56
    woods
    0.55
    IVEREF
    0.55
     WOOD
    0.54
     drewna
    0.50
    Tiger
    0.47
    Activations Density 0.005%

    No Known Activations