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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11715
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    Explanations

    phrases indicating daily routines and commuting activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ObjectParameter
    -0.57
    KommentareTeilen
    -0.57
    RTDA
    -0.53
     חיצוניים
    -0.52
     समीक्षाओं
    -0.52
     صوتيه
    -0.52
    évaluateur
    -0.51
    VersionUID
    -0.50
    sizeCache
    -0.50
    ьаж
    -0.50
    POSITIVE LOGITS
     daily
    0.92
     breakfast
    0.75
     morning
    0.73
     mornings
    0.71
    daily
    0.71
    morning
    0.69
     täglichen
    0.68
     Breakfast
    0.66
    Breakfast
    0.66
    breakfast
    0.63
    Activations Density 0.329%

    No Known Activations