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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. 9426
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    Explanations

    references to Roman culture or entities

    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
    PARATOR
    -0.42
    ollectionView
    -0.41
    पया
    -0.40
    abon
    -0.40
    ABASE
    -0.40
     PURE
    -0.39
    abases
    -0.39
    eringer
    -0.38
    CHAFT
    -0.37
    fficients
    -0.37
    POSITIVE LOGITS
     Rom
    0.92
     Roman
    0.90
    Roman
    0.79
     rom
    0.77
    Rom
    0.76
     ROM
    0.75
     ROMAN
    0.71
     roman
    0.70
     Román
    0.68
     Rome
    0.67
    Activations Density 0.106%

    No Known Activations