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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. 6145
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    references to specific names or terms related to Indian culture or cuisine

    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
    Not in Any Lists

    No Comments

    Negative Logits
    angliski
    -0.39
     naso
    -0.35
    forName
    -0.34
    HttpMethod
    -0.32
    PerformLayout
    -0.31
     testigo
    -0.30
     برانيه
    -0.30
    hiran
    -0.30
    fml
    -0.30
     kaj
    -0.30
    POSITIVE LOGITS
    SourceChecksum
    0.69
    httphttps
    0.68
    findpost
    0.55
    脚注の使い方
    0.53
     ivelany
    0.50
     فريبيس
    0.49
     HasFactory
    0.47
    Personendaten
    0.46
     Leading
    0.45
     beginnetje
    0.45
    Activations Density 0.144%

    No Known Activations