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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 13940
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    Explanations

    references to the BMW car brand and its models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.50
    Gdx
    -0.48
    gdx
    -0.44
    elemField
    -0.41
     autorytatywna
    -0.40
     jsPsych
    -0.40
     Ê
    -0.38
    ьаж
    -0.38
     Pante
    -0.37
     JNI
    -0.36
    POSITIVE LOGITS
     BMW
    0.99
     Bavarian
    0.96
     Bavaria
    0.93
    BMW
    0.91
     bmw
    0.84
     Munich
    0.83
    Bav
    0.81
    bmw
    0.80
     Bav
    0.77
     Bayern
    0.75
    Activations Density 0.151%

    No Known Activations