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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 2807
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    Explanations

    references to different types of materials and their properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ArgumentParser
    -0.50
    MessageOf
    -0.49
    setVerticalGroup
    -0.46
     concur
    -0.43
     Cabinet
    -0.43
     rotina
    -0.43
     emoc
    -0.43
    amsmath
    -0.42
    ßerdem
    -0.41
     }{@
    -0.41
    POSITIVE LOGITS
    MigrationBuilder
    0.67
     materials
    0.65
    materials
    0.60
     material
    0.59
    rrggbb
    0.58
     materialen
    0.58
    material
    0.52
     materiales
    0.52
    材質
    0.52
     materiaal
    0.50
    Activations Density 0.506%

    No Known Activations