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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. 14027
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    Explanations

    concepts related to LTE technology and its advancements

    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
    parsedMessage
    -0.57
    Portail
    -0.52
     ویکی‌پدی
    -0.47
    Портал
    -0.47
    NameInMap
    -0.46
    +#+#
    -0.44
    crossing
    -0.44
     consola
    -0.43
    BeginContext
    -0.43
    AutoField
    -0.43
    POSITIVE LOGITS
     LTE
    0.71
    LTE
    0.56
     bands
    0.56
     Bands
    0.52
     cellular
    0.51
     RADIO
    0.49
     Cellular
    0.49
     lte
    0.48
     radio
    0.47
    Bands
    0.46
    Activations Density 0.312%

    No Known Activations