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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. 14237
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    Explanations

    specific names or identifiers, particularly in contexts related to films or medical terminology

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

    ending in "an", "en", or "gen"

    np_acts-logits-general · gemini-2.0-flash

    names ending in n patterns

    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
    Not in Any Lists

    No Comments

    Negative Logits
    dress
    -0.67
    gong
    -0.59
    test
    -0.54
    des
    -0.53
    tó
    -0.52
    tests
    -0.52
    dı
    -0.51
    gate
    -0.51
     Normdatei
    -0.50
    ground
    -0.50
    POSITIVE LOGITS
    nnnn
    0.68
    NNNN
    0.67
    nnn
    0.66
    ization
    0.63
    ning
    0.62
    n
    0.59
    nen
    0.54
    ned
    0.53
    ized
    0.52
    na
    0.51
    Activations Density 2.508%

    No Known Activations