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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 12602
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    Explanations

    phrases related to transportation and commuting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     الرياضيه
    -0.46
    SerializedName
    -0.45
     hué
    -0.43
    zzlies
    -0.40
    InputTagHelper
    -0.40
    Filler
    -0.40
     noastră
    -0.40
    Tracce
    -0.40
    iredo
    -0.40
     queſto
    -0.39
    POSITIVE LOGITS
     commute
    0.71
     Commute
    0.63
     commuters
    0.59
     lunch
    0.57
     commuting
    0.55
     commuter
    0.50
     lunches
    0.49
    lunch
    0.48
    Lunch
    0.47
     LUNCH
    0.47
    Activations Density 0.319%

    No Known Activations