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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. 1234
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    INDEX
    Explanations

    mentions of airlines and aviation-related organizations

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

    Names of airlines, railways companies, or authorities

    np_acts-logits-general · gemini-2.0-flash

    airlines and railways

    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
    rap
    -0.37
     z
    -0.37
    om
    -0.37
     Disc
    -0.35
    ot
    -0.35
     LIM
    -0.35
    ele
    -0.34
     ErrIntOverflow
    -0.34
    spect
    -0.33
    tip
    -0.33
    POSITIVE LOGITS
     airlines
    0.64
     Airlines
    0.63
    +#+#
    0.63
     estekak
    0.60
     noDo
    0.59
    thansa
    0.59
     autorytatywna
    0.59
     itſelf
    0.59
     policía
    0.58
     AssemblyCompany
    0.58
    Activations Density 0.409%

    No Known Activations