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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 6356
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    Explanations

    phrases related to equipping or seasoning items

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

    equipping or seasoning

    np_acts-logits-general · gemini-2.0-flash

    equipped, seasoned, armed, fortified

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verwijspagina
    -0.51
     Saltar
    -0.50
     الرياضيه
    -0.49
    interopRequire
    -0.47
    getRequest
    -0.46
    VolleyError
    -0.46
    SpringRunner
    -0.45
    ///</
    -0.45
     plais
    -0.45
    <?
    -0.45
    POSITIVE LOGITS
     equipped
    0.60
     Equipped
    0.60
    Equipped
    0.56
     equipping
    0.56
     saturation
    0.56
     saturated
    0.54
     satur
    0.52
    populate
    0.52
     armed
    0.51
     Saturation
    0.51
    Activations Density 0.710%

    No Known Activations