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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 7971
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    references to road safety and vehicle performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InteropServices
    -0.42
    aarrggbb
    -0.38
    #+#
    -0.36
    IsContent
    -0.36
    StructEnd
    -0.35
    mobileqq
    -0.35
    ConstraintMaker
    -0.33
     NSCoder
    -0.33
    ↷
    -0.32
    PreExecute
    -0.31
    POSITIVE LOGITS
     road
    3.03
     roads
    2.75
    road
    2.48
     Road
    2.45
    Road
    2.41
     roadway
    2.33
     ROAD
    2.33
     Roads
    2.28
     highway
    2.22
     roadways
    2.20
    Activations Density 0.522%

    No Known Activations