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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. 60374
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    Explanations

    terms related to starch grains and their identification in microscopy

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

    starch grains and optical properties

    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
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    Negative Logits
     AssemblyCulture
    -0.53
    Personensuche
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     CLE
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     viewDidLoad
    -0.44
    ⤹
    -0.43
     Shoot
    -0.42
     Kalu
    -0.42
     shoot
    -0.42
    Tikang
    -0.42
    POSITIVE LOGITS
    awtextra
    0.52
     Wikiseite
    0.47
     matahari
    0.45
     femininas
    0.45
    WebElementEntity
    0.44
     mulia
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     jagung
    0.42
     digitais
    0.41
    DockStyle
    0.40
     hadir
    0.40
    Activations Density 0.140%

    No Known Activations