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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. 61532
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    INDEX
    Explanations

    verbs related to taking or receiving actions

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

    take, tomar, prendre

    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
     fundos
    -0.48
     bahía
    -0.47
    いかが
    -0.47
     satisfe
    -0.47
    RegressionTest
    -0.47
    immel
    -0.46
    awakeFromNib
    -0.46
     StyleSheet
    -0.43
    retudo
    -0.43
    aderos
    -0.42
    POSITIVE LOGITS
     tomada
    1.16
    take
    1.14
     tomar
    1.13
     toma
    1.08
     tomado
    1.07
     take
    1.07
     prendere
    1.06
    Take
    1.05
     prendre
    1.02
    Toma
    1.02
    Activations Density 0.003%

    No Known Activations