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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10548
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    references to aging and mortality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     immature
    -0.41
     gravidanza
    -0.39
     Schwangerschaft
    -0.38
     embarazada
    -0.36
    iblichen
    -0.35
     futurs
    -0.35
     Parenthood
    -0.35
     grossesse
    -0.35
    Bienvenue
    -0.35
    くん
    -0.34
    POSITIVE LOGITS
     octo
    0.97
     Emeritus
    0.93
     centen
    0.91
     emeritus
    0.86
     retired
    0.84
     eighty
    0.81
     elderly
    0.80
     Retired
    0.76
     frail
    0.75
    retired
    0.73
    Activations Density 0.272%

    No Known Activations