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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 10176
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    Explanations

    terms related to charcoal briquettes and their use in fire preparation

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

    fire and burning

    np_acts-logits-general · gemini-2.0-flash

    coal burning steam locomotives

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    /**
    -0.51
    intios
    -0.48
    tikzpicture
    -0.47
    Билгалдахарш
    -0.45
    Sklici
    -0.45
    ladolid
    -0.45
    asteroide
    -0.43
     Clarissa
    -0.43
     Dirac
    -0.43
     Walkover
    -0.43
    POSITIVE LOGITS
     burning
    1.25
     burn
    1.16
     burner
    1.13
    burning
    1.09
     fireplace
    1.09
     burners
    1.09
     fire
    1.04
     fires
    1.03
     burned
    1.02
     burns
    1.02
    Activations Density 0.234%

    No Known Activations