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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. 83852
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    Explanations

    the word "which" used repeatedly in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    introduces descriptive clauses

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ungsver
    -0.44
    ManagedBean
    -0.42
    TypedDataSet
    -0.41
    pushFollow
    -0.37
    /*
    -0.36
    بیر
    -0.36
    ButterKnife
    -0.36
     Wiktionnaire
    -0.36
     pét
    -0.35
     freak
    -0.34
    POSITIVE LOGITS
     noastre
    0.57
     lesquelles
    0.56
    didSet
    0.56
     których
    0.54
     cuales
    0.54
    ItemLayout
    0.54
     waaronder
    0.54
     Which
    0.54
     lesquels
    0.53
     which
    0.52
    Activations Density 0.009%

    No Known Activations