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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 8068
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    Explanations

    references to motors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Desh
    -0.45
    OGND
    -0.43
     Aufla
    -0.42
     Cohn
    -0.40
    Battlefield
    -0.40
    Види
    -0.40
     Berlín
    -0.40
    unie
    -0.39
    ienna
    -0.39
     Clancy
    -0.39
    POSITIVE LOGITS
     motor
    4.22
     Motor
    3.78
    motor
    3.75
    Motor
    3.72
     MOTOR
    3.42
    MOTOR
    3.03
     motors
    2.95
    モーター
    2.45
    motors
    2.41
     Motors
    2.30
    Activations Density 0.102%

    No Known Activations