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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9796
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    mentions of popular brands and entities within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GenerationType
    -0.59
    Jîn
    -0.58
    iela
    -0.56
     ſind
    -0.54
     Dhabi
    -0.54
    eleste
    -0.54
    ktop
    -0.52
    raborty
    -0.52
     Moines
    -0.52
     Rica
    -0.52
    POSITIVE LOGITS
     चीज़ों
    0.47
    InitVars
    0.41
     évêque
    0.40
    SaveVideo
    0.39
     meurt
    0.38
    AnimationsModule
    0.38
     Wikiseite
    0.36
    NewUrlParser
    0.35
     čierna
    0.34
     joaat
    0.34
    Activations Density 0.811%

    No Known Activations