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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. 12462
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    references to scientific studies or findings

    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
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    No Comments

    Negative Logits
    InteropServices
    -0.37
     autorytatywna
    -0.32
     senderismo
    -0.32
    posedge
    -0.31
     tortas
    -0.30
    cassert
    -0.30
     estructural
    -0.29
    farwyddwr
    -0.28
     TAMBIÉN
    -0.28
    onViewCreated
    -0.28
    POSITIVE LOGITS
    PyExc
    0.58
     Ref
    0.57
     Reference
    0.56
    PhysRevLett
    0.56
     Refs
    0.56
     refs
    0.55
     jspb
    0.54
    TagMode
    0.54
    reference
    0.54
    AddTagHelper
    0.53
    Activations Density 1.208%

    No Known Activations