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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 14685
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    Explanations

    references to woodworking materials and processes

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

    technical specifications and measurements in scientific or manufacturing contexts.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    addCriterion
    -0.49
     désolés
    -0.44
    isenberg
    -0.41
     asfalto
    -0.40
     lycra
    -0.39
    HtmlAttribute
    -0.39
     Италијани
    -0.38
     Aéroport
    -0.36
    chartInstance
    -0.36
    tagext
    -0.36
    POSITIVE LOGITS
     wood
    1.51
     wooden
    1.23
     Wood
    1.22
    Wood
    1.19
     timber
    1.18
     woodworking
    1.16
    wood
    1.13
     Wooden
    1.11
     WOOD
    1.10
     madera
    1.09
    Activations Density 0.164%

    No Known Activations