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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 10209
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    Explanations

    references to shopping malls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ähteet
    -0.42
     Baus
    -0.39
     peccato
    -0.39
     companhia
    -0.36
    เยอะ
    -0.36
     cuenca
    -0.35
     secos
    -0.35
     personnalité
    -0.35
    minLength
    -0.34
    ElementException
    -0.34
    POSITIVE LOGITS
     Mall
    0.93
    Mall
    0.91
     mall
    0.74
     MALL
    0.71
     noDo
    0.65
    exitRule
    0.63
    mall
    0.60
    gg
    0.60
     ldc
    0.58
    PreExecute
    0.57
    Activations Density 0.402%

    No Known Activations