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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 4977
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    INDEX
    Explanations

    specific shoe types and attributes related to a legal case context

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

    preceding shoe types

    np_acts-logits-general · gemini-2.0-flash

    footwear, boots, and shoes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.75
    complexContent
    -0.56
     Hughes
    -0.54
    TestBed
    -0.53
     lymphoma
    -0.52
    ParallelGroup
    -0.52
     اكتوبر
    -0.52
    +#+#
    -0.51
    UnknownFields
    -0.50
    EndContext
    -0.50
    POSITIVE LOGITS
     shoes
    1.60
     footwear
    1.43
     shoe
    1.33
     Shoes
    1.31
     boots
    1.27
     sneakers
    1.22
    shoes
    1.22
     sandals
    1.22
    Shoes
    1.21
     Footwear
    1.17
    Activations Density 0.124%

    No Known Activations