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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15071
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    INDEX
    Explanations

    character names or titles associated with legal cases

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

    ending in "bre", "bot", "ker", or "bar"

    np_acts-logits-general · gemini-2.0-flash

    names and legal terms

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     París
    -0.40
     Jerusalén
    -0.39
     Gegner
    -0.37
     Atenas
    -0.37
     Berlín
    -0.36
    s
    -0.36
     Accesorios
    -0.35
     Töchter
    -0.35
     Viena
    -0.35
     Frühling
    -0.35
    POSITIVE LOGITS
     betweenstory
    1.09
     للاسماء
    0.85
     EconPapers
    0.82
    tagHelperRunner
    0.80
    ьаж
    0.77
     CreateTagHelper
    0.75
    WriteTagHelper
    0.74
     Roskov
    0.74
    expandindo
    0.73
     متعلقه
    0.73
    Activations Density 0.523%

    No Known Activations