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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. 11916
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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
    chymal
    -0.37
    sn
    -0.35
     appréci
    -0.35
     sn
    -0.34
    ism
    -0.33
     field
    -0.33
     auto
    -0.33
    appré
    -0.33
     pants
    -0.33
    esomeness
    -0.33
    POSITIVE LOGITS
    KommentareTeilen
    0.71
    AccessorTable
    0.58
     Савезне
    0.57
    PyExc
    0.56
    ″]
    0.54
    ScopeManager
    0.54
     Efq
    0.52
    StoryboardSegue
    0.52
    RTLR
    0.51
    styleType
    0.51
    Activations Density 0.081%

    No Known Activations