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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 13054
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    INDEX
    Explanations

    occurrences of the word "meet" and its variations in various contexts

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

    "meet" or "met"

    np_acts-logits-general · gemini-2.0-flash

    act of meeting

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    bellar
    -0.42
    //
    -0.40
     cív
    -0.39
     oxygen
    -0.38
    ⁾
    -0.38
     dentaire
    -0.37
    StringProperty
    -0.36
     souverain
    -0.36
     sagrado
    -0.36
     zand
    -0.36
    POSITIVE LOGITS
    Meet
    1.12
     meet
    1.09
    meet
    1.07
     Meet
    1.06
    Meeting
    1.00
     MEET
    0.99
     Meeting
    0.98
     meets
    0.97
     Meets
    0.91
     meeting
    0.89
    Activations Density 0.155%

    No Known Activations