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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. 3548
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    Explanations

    descriptions of clothing and attire

    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
    Kanpo
    -0.47
     שוליים
    -0.42
    complexType
    -0.40
    AndEndTag
    -0.39
    PerformLayout
    -0.39
     corpi
    -0.38
    FieldOffset
    -0.38
     mises
    -0.38
     '{@
    -0.36
    ListItemIcon
    -0.35
    POSITIVE LOGITS
     pants
    1.55
     jeans
    1.51
     trousers
    1.41
     Pants
    1.33
     Jeans
    1.24
    jeans
    1.22
    Pants
    1.20
    👖
    1.19
    pants
    1.18
    Jeans
    1.16
    Activations Density 0.139%

    No Known Activations