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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. 8523
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    numerical values and units of measurement

    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
    adaptiveStyles
    -0.80
     informée
    -0.79
    windowFixed
    -0.76
     betweenstory
    -0.71
    msgTypes
    -0.69
     Autorisations
    -0.67
    出版年
    -0.66
    цездатний
    -0.66
     estekak
    -0.65
    OGND
    -0.65
    POSITIVE LOGITS
     rather
    0.37
     means
    0.36
     like
    0.35
     appunto
    0.33
     is
    0.29
    ?
    0.28
     without
    0.28
     
    0.28
     but
    0.26
    ’
    0.26
    Activations Density 0.661%

    No Known Activations