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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. 13428
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    Explanations

    descriptions of clothing and footwear, especially focusing on their condition and appearance

    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
     indirec
    -0.42
    ConfigureAwait
    -0.41
     nhẹ
    -0.41
     transfieras
    -0.41
    kháu
    -0.39
     Innoc
    -0.38
     bluz
    -0.36
    woordig
    -0.36
    RetentionPolicy
    -0.36
    fritt
    -0.35
    POSITIVE LOGITS
     dilapidated
    1.41
     dirty
    1.27
     filthy
    1.21
     shabby
    1.13
     squal
    1.09
     dusty
    1.06
     rundown
    1.06
     crumbling
    1.05
     worn
    1.05
     rusty
    1.05
    Activations Density 0.371%

    No Known Activations