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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. 5266
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    INDEX
    Explanations

    occurrences of the word "text" and references to graphical or visual content in documents

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

    "text"

    np_acts-logits-general · gemini-2.0-flash

    text following "Return to"

    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
     <>",
    -0.66
    Personendaten
    -0.58
    liceerd
    -0.50
     Италијани
    -0.47
    transQ
    -0.47
    цездатний
    -0.44
    GTCX
    -0.42
     reservados
    -0.41
    AsUp
    -0.41
     незавершена
    -0.40
    POSITIVE LOGITS
    text
    1.11
     text
    0.75
    Text
    0.70
    TEXT
    0.69
    texto
    0.65
     Text
    0.61
     TEXT
    0.54
    
    0.52
    文本
    0.52
     texto
    0.51
    Activations Density 0.035%

    No Known Activations