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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. 10237
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    Explanations

    references to mountains or significant landforms

    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
    OptionsMenu
    -0.47
     Sandman
    -0.46
    dataclass
    -0.46
     Mancha
    -0.45
    CloseOperation
    -0.44
    PROLOG
    -0.43
    堺
    -0.39
    getWriter
    -0.39
    realm
    -0.39
    Cubit
    -0.38
    POSITIVE LOGITS
     Mt
    1.01
     mountain
    0.95
    Mountain
    0.93
    Mt
    0.91
    mountain
    0.91
     Mountain
    0.89
     mt
    0.82
     MOUNTAIN
    0.82
     alpine
    0.82
     Alpine
    0.80
    Activations Density 0.536%

    No Known Activations