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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3762
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    Explanations

    details related to clothing and footwear descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    after brand name "Arcopedico."

    np_acts-logits-general · gemini-2.0-flash

    shoes and boots

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hughes
    -0.58
    ⓧ
    -0.56
     CreateTagHelper
    -0.55
    complexContent
    -0.54
    ParallelGroup
    -0.52
    numerusform
    -0.52
    +#+#
    -0.52
    gitlab
    -0.49
     Arms
    -0.49
    تفصیلات
    -0.48
    POSITIVE LOGITS
     shoes
    1.81
     shoe
    1.76
     footwear
    1.67
     Shoes
    1.60
     Shoe
    1.56
     boots
    1.49
    Shoes
    1.48
    shoes
    1.46
     foot
    1.45
    shoe
    1.44
    Activations Density 0.157%

    No Known Activations