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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. 10909
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    Explanations

    descriptions of automotive design features

    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
    发表于
    -0.45
    rinus
    -0.43
    ustimmung
    -0.43
    findpost
    -0.42
     FetchType
    -0.41
    TableHead
    -0.39
     CONTROLS
    -0.38
    drawText
    -0.38
     Tilt
    -0.38
    endforeach
    -0.37
    POSITIVE LOGITS
     bumper
    0.83
     fender
    0.78
     fenders
    0.70
    bumper
    0.69
     spoiler
    0.67
    fender
    0.65
     bumpers
    0.65
     body
    0.64
     Bumper
    0.64
     spoilers
    0.59
    Activations Density 0.253%

    No Known Activations