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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5265
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    Explanations

    references to relationships and connections between entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "very"

    np_acts-logits-general · gemini-2.0-flash

    very or superlative intensifiers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awtextra
    -0.81
    رشف
    -0.72
    XmlAccessorType
    -0.69
     pinulongan
    -0.66
    出版年
    -0.66
    RegistryLite
    -0.61
     communiquez
    -0.61
     liksom
    -0.60
    WriteLiteral
    -0.59
     religieuses
    -0.58
    POSITIVE LOGITS
     very
    3.39
    very
    2.87
    Very
    2.83
     Very
    2.76
     VERY
    2.23
    VERY
    2.23
     muy
    2.07
     très
    2.02
     Très
    1.57
     sehr
    1.54
    Activations Density 0.319%

    No Known Activations