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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5251
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    mentions of specific car brands and models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.72
    EDEFAULT
    -0.53
    elemField
    -0.52
    LookAnd
    -0.50
     &___
    -0.47
     viſ
    -0.47
     <=",
    -0.46
    ьаж
    -0.45
    Gdx
    -0.45
     Pante
    -0.44
    POSITIVE LOGITS
     BMW
    1.11
    BMW
    0.98
     Bavarian
    0.94
     bmw
    0.87
     Bavaria
    0.85
    bmw
    0.81
     Bav
    0.80
     Munich
    0.79
    Bav
    0.76
     bav
    0.75
    Activations Density 0.186%

    No Known Activations