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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. 116094
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    Explanations

    modal verbs in the German language

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

    german modal verbs

    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
    __(/*!
    -0.51
    djangoproject
    -0.45
     ſte
    -0.44
     fatt
    -0.44
     story
    -0.43
     poffe
    -0.43
    VersionUID
    -0.42
     Wad
    -0.42
     noDo
    -0.41
     Sey
    -0.41
    POSITIVE LOGITS
     kann
    1.34
     können
    1.18
     konnte
    1.02
    Kann
    0.94
     konnten
    0.90
     kunnen
    0.88
    können
    0.87
     könne
    0.87
    kann
    0.85
     könnte
    0.82
    Activations Density 0.001%

    No Known Activations