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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3420
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    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    таратура
    -0.59
     يتيمه
    -0.58
    Искәрмәләр
    -0.57
     فريبيس
    -0.56
    ̎
    -0.52
     pleaſure
    -0.52
     Holy
    -0.51
    MergeFrom
    -0.51
    Зноскі
    -0.49
     estekak
    -0.48
    POSITIVE LOGITS
    iots
    0.43
    pid
    0.43
    ius
    0.42
    dy
    0.42
    ding
    0.42
     KID
    0.41
    iu
    0.40
    KID
    0.40
    iosync
    0.39
    quid
    0.39
    Activations Density 0.224%

    No Known Activations