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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7423
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    INDEX
    Explanations

    phrases that indicate quality or excellence

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

    "well" and its usage

    np_acts-logits-general · gemini-2.0-flash

    well + positive qualifiers

    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
     NSCoder
    -0.62
    IntoConstraints
    -0.53
    odacty
    -0.50
    satunya
    -0.48
    aturing
    -0.48
    matitis
    -0.48
    cila
    -0.47
    skraft
    -0.47
    rapie
    -0.47
    getAction
    -0.47
    POSITIVE LOGITS
     well
    1.66
     Well
    1.60
    Well
    1.59
    well
    1.46
     WELL
    1.39
    WELL
    1.25
     wells
    1.03
     dobrze
    0.94
    wells
    0.93
     dobře
    0.93
    Activations Density 0.088%

    No Known Activations