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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 1137
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    elements related to automotive features and design

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enumii
    -0.46
    tagHelperRunner
    -0.44
    unin
    -0.44
    +#+
    -0.44
    uxxxx
    -0.41
    ModelAdmin
    -0.41
     flywheel
    -0.40
    enumi
    -0.40
    NSIndexPath
    -0.40
    awtextra
    -0.40
    POSITIVE LOGITS
     fog
    0.75
     Fog
    0.62
    fog
    0.56
    Fog
    0.56
     marker
    0.56
     sinyal
    0.56
     blink
    0.55
     signal
    0.54
     niebla
    0.51
     FOG
    0.51
    Activations Density 0.387%

    No Known Activations