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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 14844
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    references to wealth and financial success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     blo
    -0.46
     BEM
    -0.43
    mang
    -0.43
     ob
    -0.42
    ⠀
    -0.42
     mang
    -0.42
     jo
    -0.42
    PED
    -0.42
    yo
    -0.41
     ABR
    -0.41
    POSITIVE LOGITS
     desmotivaciones
    0.76
     disturbed
    0.76
     wealth
    0.76
     increí
    0.75
     miniaturka
    0.74
     trilha
    0.73
     navideños
    0.73
     idéia
    0.73
     saveiro
    0.71
     Económica
    0.71
    Activations Density 0.224%

    No Known Activations