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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 6087
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    Explanations

    references to beaches and seaside activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_8/width_16k/average_l0_99
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Asian
    -0.33
    TabItem
    -0.33
    Asian
    -0.33
     disel
    -0.32
    Sy
    -0.32
     Wort
    -0.32
    }])
    -0.31
    Engine
    -0.31
    एको
    -0.31
     asian
    -0.31
    POSITIVE LOGITS
     beach
    0.92
    beach
    0.89
     beaches
    0.88
     BEACH
    0.85
     Beach
    0.84
    🏖
    0.84
    Beach
    0.82
     seaside
    0.79
     spiaggia
    0.78
     seashore
    0.75
    Activations Density 0.197%

    No Known Activations