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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. 10380
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    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
    setVerticalGroup
    -0.43
    BeginContext
    -0.39
    𝟹
    -0.36
    fillType
    -0.35
     nuevamente
    -0.35
     onPostExecute
    -0.34
     onBind
    -0.32
    JNIEnv
    -0.32
    ScopeManager
    -0.32
    initComponents
    -0.32
    POSITIVE LOGITS
     polecam
    0.58
     chirurgie
    0.53
    ècie
    0.51
    invokeLater
    0.51
     NSCoder
    0.50
    Література
    0.48
    Worth
    0.46
     referenties
    0.46
    ModelSerializer
    0.45
    นะครับ
    0.44
    Activations Density 0.153%

    No Known Activations