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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 15054
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    numerical identifiers or question formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.48
    ----</
    -0.43
    BagConstraints
    -0.42
    autaire
    -0.42
    怎么办
    -0.40
    Xna
    -0.40
    insets
    -0.40
     IBRARY
    -0.40
    Discografia
    -0.39
    tificate
    -0.38
    POSITIVE LOGITS
    )
    0.63
    ️⃣
    0.63
    ）
    0.53
    webElementXpaths
    0.52
    .)
    0.50
    ⃣
    0.49
    .
    0.48
    °)
    0.47
     Grecs
    0.47
    ）　
    0.46
    Activations Density 0.472%

    No Known Activations