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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. 3864
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    Explanations

    aspects of transportation options and costs

    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
    tgär
    -0.47
     defaultstate
    -0.39
     acuario
    -0.38
     aikaa
    -0.37
    aarrggbb
    -0.37
     tratamiento
    -0.37
     infierno
    -0.36
     táctil
    -0.36
     ModelExpression
    -0.35
    égard
    -0.35
    POSITIVE LOGITS
     travel
    1.07
     transportation
    0.99
     transport
    0.94
     traveling
    0.90
     Travel
    0.90
     travelling
    0.90
     traveled
    0.87
     travelled
    0.86
     travels
    0.86
     Transportation
    0.84
    Activations Density 0.786%

    No Known Activations