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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 1617
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    Explanations

    specific features and options related to vehicle customization and technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    details about car technology and features, particularly in a Peugeot vehicle.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ویکی‌پدی
    -0.73
    "}")
    -0.47
     Biôgrafia
    -0.44
    NameInMap
    -0.39
     iirc
    -0.39
    ftagPool
    -0.38
     Mainly
    -0.36
    évaluateur
    -0.36
     sebab
    -0.36
     Lern
    -0.36
    POSITIVE LOGITS
    UserScript
    0.48
    ManagedBean
    0.45
    PreferredItem
    0.44
    PyExc
    0.44
    发表于
    0.43
     sappiamo
    0.41
     محفوظة
    0.40
    AddTagHelper
    0.39
    ThroughAttribute
    0.39
    esgue
    0.39
    Activations Density 0.270%

    No Known Activations