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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. 66670
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    Explanations

    references to wood and wooden products

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

    wooden objects and materials

    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
    RenderAtEndOf
    -0.62
     linkovi
    -0.52
     kesadaran
    -0.46
    CROSSTALK
    -0.45
     ExecuteAsync
    -0.44
    empêcher
    -0.44
    PHeader
    -0.43
     obligación
    -0.42
     Référence
    -0.42
    esterno
    -0.41
    POSITIVE LOGITS
     wood
    0.96
     wooden
    0.85
     Wooden
    0.84
     Wood
    0.83
     WOOD
    0.81
     timber
    0.81
    Wooden
    0.80
    wooden
    0.79
     woodworking
    0.78
     hardwood
    0.75
    Activations Density 0.060%

    No Known Activations