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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12052
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    numerical values and identifiers within data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدی
    -1.10
     kasarigan
    -1.02
     queſta
    -0.95
     мәкал
    -0.93
    <unused43>
    -0.89
    <unused76>
    -0.89
    <unused41>
    -0.88
    <unused23>
    -0.88
     Photocase
    -0.88
    <unused1>
    -0.88
    POSITIVE LOGITS
     
    1.20
     
    0.26
    .
    0.26
     Económica
    0.21
     telefónica
    0.20
     respiración
    0.20
     revolución
    0.20
    }
    0.20
    ,
    0.19
     &&
    0.19
    Activations Density 0.722%

    No Known Activations