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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 7607
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    INDEX
    Explanations

    proper nouns, particularly names of characters and titles in films

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

    Tokens after "The" or "starring"

    np_acts-logits-general · gemini-2.0-flash

    actors starring as roles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     mixtape
    -0.53
     للمعارف
    -0.51
     uitzicht
    -0.49
     brioche
    -0.49
     bling
    -0.47
     Itachi
    -0.45
    رشف
    -0.45
     Collider
    -0.45
    rungsseite
    -0.44
    İstinadlar
    -0.44
    POSITIVE LOGITS
    tagHelperRunner
    0.51
    addCriterion
    0.39
    <?=$
    0.38
     vedette
    0.36
     kov
    0.36
    SALUD
    0.35
    [`
    0.35
     yym
    0.35
     oper
    0.35
    <?=
    0.35
    Activations Density 0.476%

    No Known Activations