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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. 13588
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    Explanations

    references to buildings and facilities, particularly in an urban context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    places and buildings

    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
    Negative Logits
     steder
    -0.40
     PLACES
    -0.38
     marbre
    -0.38
     jajaran
    -0.38
    Places
    -0.37
    raktion
    -0.37
    ěstí
    -0.36
     turístico
    -0.35
     places
    -0.35
     Places
    -0.35
    POSITIVE LOGITS
    osoba
    0.65
    dafx
    0.57
     ſtate
    0.52
     esternos
    0.51
     ویکی‌پدی
    0.50
    windowFixed
    0.50
    RTLI
    0.49
    RegressionTest
    0.49
     houſe
    0.49
    rungsseite
    0.49
    Activations Density 0.071%

    No Known Activations