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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 10571
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    Explanations

    references to lakes and their features

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

    geographic references to lakes.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rivers
    -0.48
    River
    -0.47
     River
    -0.45
    Rivers
    -0.45
     river
    -0.44
    TagMode
    -0.43
     RIVER
    -0.43
    ineno
    -0.40
     Uff
    -0.40
     múl
    -0.37
    POSITIVE LOGITS
     lake
    1.54
     Lake
    1.40
    Lake
    1.35
     lakes
    1.31
    lake
    1.21
    LAKE
    1.11
     LAKE
    1.11
    湖
    1.10
    lakes
    1.09
     Lakes
    1.07
    Activations Density 0.129%

    No Known Activations