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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 6282
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    Explanations

    references to wooden materials and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.60
    RenderAtEndOf
    -0.58
     ExecuteAsync
    -0.49
     emisión
    -0.45
    lorette
    -0.44
    CppMethod
    -0.44
    tagext
    -0.43
    Tikang
    -0.43
    afficheront
    -0.42
     inflación
    -0.42
    POSITIVE LOGITS
     wood
    1.53
     Wood
    1.41
    Wood
    1.28
     WOOD
    1.24
     wooden
    1.23
     Wooden
    1.20
     timber
    1.20
    wood
    1.14
    wooden
    1.13
     madera
    1.12
    Activations Density 0.204%

    No Known Activations