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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9308
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    specific numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.59
    岐
    -0.45
     absc
    -0.43
     nig
    -0.41
     pist
    -0.39
     twit
    -0.39
     Front
    -0.38
     divers
    -0.38
     Pound
    -0.38
     Supers
    -0.37
    POSITIVE LOGITS
     which
    0.73
     but
    0.69
     laikā
    0.65
     religione
    0.59
     although
    0.59
     and
    0.57
     including
    0.57
     whereas
    0.57
     albeit
    0.56
     allowing
    0.56
    Activations Density 1.280%

    No Known Activations