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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 466
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    Explanations

    names of individuals, particularly those with titles and qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     disambiguazione
    -0.77
     CreateTagHelper
    -0.66
    MigrationBuilder
    -0.63
    Autoritní
    -0.59
     ſind
    -0.56
    ロウィン
    -0.55
    WebVitals
    -0.53
     Infórmanos
    -0.53
     كومونز
    -0.52
    principalColumn
    -0.51
    POSITIVE LOGITS
     PhD
    0.82
     Esq
    0.80
     Ph
    0.77
    PhD
    0.69
    Ph
    0.57
     MSc
    0.56
     MBA
    0.55
     BSc
    0.52
     BA
    0.52
     SC
    0.52
    Activations Density 0.250%

    No Known Activations