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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12354
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    Explanations

    descriptions of bike trails and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    formik
    -0.44
    AISSEE
    -0.43
     paznok
    -0.40
     marbre
    -0.39
     MainAxisSize
    -0.38
    elemField
    -0.36
     taş
    -0.36
    RuntimeObject
    -0.35
     Exacts
    -0.35
    Captor
    -0.34
    POSITIVE LOGITS
     riding
    2.38
     riders
    2.23
     bike
    2.17
     rider
    2.16
     ride
    2.16
     cycling
    1.95
     bikes
    1.95
     rides
    1.94
    Riding
    1.93
     Riding
    1.92
    Activations Density 0.411%

    No Known Activations