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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 94057
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    INDEX
    Explanations

    specific types of athletes, particularly divers and canoeists

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    sports or physical motion

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     للمعارف
    -0.75
    GOTREF
    -0.68
     propOrder
    -0.66
     <<<<<<<<<<<<<<
    -0.66
    󠁿
    -0.64
     HttpNotFound
    -0.63
    RegressionTest
    -0.62
    #+#
    -0.60
    SequentialGroup
    -0.60
    stdc
    -0.60
    POSITIVE LOGITS
     пожа
    0.34
    Derbyniad
    0.28
     tissue
    0.28
    缩
    0.28
     form
    0.28
     đo
    0.27
     dite
    0.27
    mulos
    0.27
    AppMethodBeat
    0.27
    anique
    0.26
    Activations Density 0.081%

    No Known Activations