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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. 125873
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    Explanations

    forms of the verb "to have" and related conjugations in different contexts

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

    Portuguese verbs "estar" and "ter"

    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
    bcryptjs
    -0.65
     resourceCulture
    -0.61
    quelize
    -0.50
    VersionUID
    -0.48
    Parcelize
    -0.47
    principalColumn
    -0.47
     galo
    -0.46
    menuStrip
    -0.46
    :///
    -0.45
     arşivlendi
    -0.45
    POSITIVE LOGITS
     estar
    0.96
     estuvieron
    0.85
     estuvo
    0.81
     Estar
    0.69
    Estar
    0.68
     estará
    0.68
     esteve
    0.67
     estaremos
    0.66
     estando
    0.59
     tenir
    0.57
    Activations Density 0.004%

    No Known Activations