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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 52190
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    Explanations

    references to wooded or forested areas

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

    forest and woodland environments

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DataAnnotations
    -0.55
    LabelTagHelper
    -0.54
    setVerticalGroup
    -0.50
     cartaz
    -0.48
    httphttps
    -0.48
     mergeFrom
    -0.47
     Santorini
    -0.47
    requipa
    -0.47
    bürgermeister
    -0.45
     Römer
    -0.45
    POSITIVE LOGITS
     forest
    1.15
     forests
    1.04
    forest
    1.03
     woodland
    1.02
     woods
    0.99
    Forest
    0.97
     Forest
    0.96
     skog
    0.90
     FOREST
    0.87
     wooded
    0.83
    Activations Density 0.015%

    No Known Activations