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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. 11362
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    Explanations

    adverbial forms that modify verbs or adjectives

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

    adverbial "-mente" suffix

    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
     auroit
    -0.76
     avoient
    -0.74
     pouvoit
    -0.69
    ambién
    -0.67
     isolato
    -0.62
     Púb
    -0.62
     feroit
    -0.60
     Inscrivez
    -0.59
     fría
    -0.59
    SEGUIR
    -0.59
    POSITIVE LOGITS
    mente
    1.23
    amente
    1.00
    icamente
    0.85
    tamente
    0.82
    AMENTE
    0.77
    vamente
    0.76
    ticamente
    0.72
    nicamente
    0.68
    ficamente
    0.68
    MENTE
    0.67
    Activations Density 0.006%

    No Known Activations