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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 49
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    Explanations

    references to seaside locations and beaches

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

    beaches

    np_acts-logits-general · gemini-2.0-flash

    beach watch

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
    adaptiveStyles
    -0.46
    ductos
    -0.44
     communications
    -0.40
    readString
    -0.39
    modelBuilder
    -0.39
    pisah
    -0.39
    eradish
    -0.38
     объем
    -0.38
    엌
    -0.38
    BeginInit
    -0.38
    POSITIVE LOGITS
     beach
    1.23
    beach
    1.08
    Beach
    1.03
     beachfront
    1.03
     Beach
    1.02
     beaches
    1.00
     spiaggia
    0.99
     BEACH
    0.93
     pantai
    0.92
    🏖
    0.91
    Activations Density 0.080%

    No Known Activations