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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. 1301
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    Explanations

    names of automotive technologies or components

    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
     pinulongan
    -0.56
    rungsseite
    -0.55
    complexContent
    -0.55
     NSCoder
    -0.54
    msgTypes
    -0.53
    󠁢
    -0.53
    ValueStyle
    -0.52
    AnchorStyles
    -0.51
     不锈钢
    -0.51
    enumi
    -0.50
    POSITIVE LOGITS
     armat
    0.45
     servo
    0.43
     pneum
    0.40
     moto
    0.40
     montage
    0.40
     kab
    0.39
     amor
    0.39
    instal
    0.39
     motor
    0.39
     iner
    0.39
    Activations Density 0.174%

    No Known Activations