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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13044
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    Explanations

    references to coastal or marine-related environments and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 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
    群馬
    -0.45
     Guanajuato
    -0.43
     Thebes
    -0.43
     mule
    -0.41
     Phry
    -0.41
    ({_
    -0.40
    calientes
    -0.40
    govia
    -0.40
     Midlands
    -0.40
     Addis
    -0.39
    POSITIVE LOGITS
     Coastal
    1.26
    Coastal
    1.23
     coastal
    1.23
     Oceanography
    1.19
     seashore
    1.16
     beach
    1.14
     seaside
    1.14
     Küsten
    1.13
     Beach
    1.13
    Beach
    1.12
    Activations Density 0.950%

    No Known Activations