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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 8290
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    Explanations

    mentions of wooden objects or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCulture
    -0.68
    RegistryLite
    -0.68
    NameInMap
    -0.64
    matchCondition
    -0.63
    WriteTagHelper
    -0.63
     ExecuteAsync
    -0.62
     "..\..\..\
    -0.62
    Personendaten
    -0.62
    __':
    -0.59
    下载附件
    -0.59
    POSITIVE LOGITS
     wooden
    0.85
     Holz
    0.84
     Wooden
    0.84
     legno
    0.83
     wood
    0.82
    Wooden
    0.81
     WOOD
    0.78
    wood
    0.77
    WOOD
    0.77
    木
    0.76
    Activations Density 2.885%

    No Known Activations