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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 8004
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    Explanations

    references to motors and motor vehicles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.65
     محفوظة
    -0.47
     Berlín
    -0.46
    Battlefield
    -0.45
     Citadel
    -0.43
     Aufla
    -0.43
    wicks
    -0.42
    discipline
    -0.41
    slant
    -0.40
     vě
    -0.40
    POSITIVE LOGITS
     motor
    4.00
     Motor
    3.66
    motor
    3.61
    Motor
    3.58
     MOTOR
    3.28
    MOTOR
    2.89
     motors
    2.78
    motors
    2.31
    モーター
    2.28
     Motors
    2.22
    Activations Density 0.062%

    No Known Activations