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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7067
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    INDEX
    Explanations

    phrases containing the word "have" in various contexts

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

    "have" (or related forms)

    np_acts-logits-general · gemini-2.0-flash

    have a / have this / have that

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    weil
    -0.45
    fjspx
    -0.43
     purpoſe
    -0.43
     ſche
    -0.42
    föl
    -0.42
    ToProps
    -0.42
     promesa
    -0.42
    splitlines
    -0.42
     esimer
    -0.42
    jsonwebtoken
    -0.42
    POSITIVE LOGITS
     having
    0.77
     Having
    0.74
    Having
    0.73
    having
    0.73
     иметь
    0.68
     had
    0.68
     HAVING
    0.66
     mieć
    0.65
     have
    0.62
     gehad
    0.60
    Activations Density 0.349%

    No Known Activations