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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 2499
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    Explanations

    references to wood or wooden materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WOOD
    -0.53
     wood
    -0.48
    wood
    -0.47
     WOOD
    -0.45
     woods
    -0.43
    TagMode
    -0.42
     madera
    -0.42
     Roskov
    -0.42
    RenderAtEndOf
    -0.41
     wooden
    -0.41
    POSITIVE LOGITS
    bine
    0.59
    burning
    0.56
    pile
    0.54
    pec
    0.54
    chuck
    0.54
    ruff
    0.54
    pecker
    0.54
    PEC
    0.54
    chips
    0.54
     JpaRepository
    0.50
    Activations Density 0.216%

    No Known Activations