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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. 4075
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    specific identifiers related to documents and entities, particularly phone numbers, accession numbers, and case citations

    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
    asanjo
    -0.38
    httphttps
    -0.35
    JNIEnv
    -0.33
    rénées
    -0.32
     tikra
    -0.32
    adhyay
    -0.31
     WaitForSeconds
    -0.30
    mittelt
    -0.29
     Moulton
    -0.29
     רבה
    -0.28
    POSITIVE LOGITS
     number
    2.77
     numbers
    2.34
    number
    2.33
     Number
    2.31
     NUMBER
    2.23
     número
    2.16
    Number
    2.14
     nummer
    2.00
    NUMBER
    2.00
     numéro
    1.99
    Activations Density 1.482%

    No Known Activations