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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. 52006
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    Explanations

    references to woods and woodlands

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

    woods and forest

    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
    
    -0.66
    DataAnnotations
    -0.57
     EconPapers
    -0.48
    zzleHttp
    -0.48
    Lazar
    -0.47
    Petr
    -0.46
     Paralympic
    -0.45
    arote
    -0.45
    César
    -0.45
    Razer
    -0.45
    POSITIVE LOGITS
     woods
    2.06
     Woods
    2.00
    Woods
    1.82
    woods
    1.74
     woodland
    1.16
     woodlands
    1.09
     WOOD
    1.01
     wooded
    0.95
     forest
    0.90
     Forest
    0.87
    Activations Density 0.003%

    No Known Activations