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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 9784
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    Explanations

    mentions of "Rome" and "ROM" 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 @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    -0.50
    -0.48
     KP
    -0.46
    🏻
    -0.45
    -0.45
    -0.44
     coper
    -0.42
     BIM
    -0.42
    ToBounds
    -0.42
     Hosp
    -0.42
    POSITIVE LOGITS
     Rome
    0.63
     AssemblyCulture
    0.58
    tagHelperRunner
    0.57
    Rome
    0.56
    ÓW
    0.55
    ové
    0.53
     ROME
    0.52
     Rom
    0.51
     zijne
    0.49
    gaande
    0.49
    Activations Density 0.353%

    No Known Activations