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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 6813
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    Explanations

    references to types of wood and wooden products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    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
    -0.64
    =$?
    -0.56
    CppMethod
    -0.56
    ValueStyle
    -0.49
    RenderAtEndOf
    -0.48
     désolés
    -0.45
    WriteTagHelper
    -0.44
     ExecuteAsync
    -0.44
    stateMutability
    -0.44
    helial
    -0.44
    POSITIVE LOGITS
     wood
    1.29
     Wood
    1.16
     timber
    1.14
     Timber
    1.09
    Timber
    1.06
     wooden
    1.04
    Wood
    1.03
     woodworking
    1.03
     Wooden
    1.02
     lumber
    1.02
    Activations Density 0.600%

    No Known Activations