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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. 685
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    Explanations

    sequences of underscore-prefixed identifiers, typically used in programming languages like Python

    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
    AndEndTag
    -0.66
     nahilalakip
    -0.65
    webElementGuid
    -0.61
    TestingModule
    -0.60
    Tikang
    -0.58
    .},
    -0.58
    itv
    -0.57
    ｝
    -0.57
    contentLoaded
    -0.56
     BoxDecoration
    -0.54
    POSITIVE LOGITS
     __
    0.98
    __
    0.96
    (__
    0.94
    .__
    0.91
     *__
    0.88
     (__
    0.87
     "__
    0.86
    ->__
    0.84
    ("__
    0.82
     '__
    0.81
    Activations Density 0.061%

    No Known Activations