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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 5049
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    Explanations

    words associated with sports and athletic achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ExecuteAsync
    -0.61
    Tikang
    -0.59
     niedersachsen
    -0.48
     stockbild
    -0.48
     InputDecoration
    -0.47
    Formik
    -0.47
    brainly
    -0.46
    ConstraintMaker
    -0.45
    openzeppelin
    -0.45
    afficheront
    -0.45
    POSITIVE LOGITS
     paddle
    1.23
     paddling
    1.20
     kayak
    1.16
     canoe
    1.16
     padd
    1.11
     paddles
    1.11
     Paddle
    1.08
     kayaks
    1.06
     oars
    1.06
     boat
    1.02
    Activations Density 0.124%

    No Known Activations