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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 94893
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    accented characters commonly used in language and names

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

    á

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     německ
    -0.50
     poř
    -0.49
     limpio
    -0.48
     Signalez
    -0.48
     silencioso
    -0.47
     stej
    -0.47
     acompañada
    -0.46
     acompañado
    -0.46
    fsen
    -0.45
     väli
    -0.45
    POSITIVE LOGITS
    á
    2.09
    Á
    1.38
    aacute
    1.12
     á
    1.10
     Á
    0.99
    rá
    0.83
    ká
    0.80
    gá
    0.73
    lá
    0.72
    rungsseite
    0.71
    Activations Density 0.006%

    No Known Activations