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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. 14525
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    Explanations

    references to specific objects or tools, particularly in the context of woodworking or construction

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

    wood and associated terms

    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
    Tikang
    -0.54
    RenderAtEndOf
    -0.47
     strijd
    -0.46
    :+:
    -0.40
    Identyfik
    -0.40
    hubanes
    -0.39
    ismet
    -0.39
    __(/*!
    -0.38
    gonic
    -0.38
    TargetException
    -0.38
    POSITIVE LOGITS
     Wooden
    1.03
     wood
    1.02
     Wood
    1.01
     wooden
    0.98
    wooden
    0.96
    Wood
    0.96
    Wooden
    0.93
     WOOD
    0.92
     legno
    0.88
     ahşap
    0.84
    Activations Density 0.011%

    No Known Activations