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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 2610
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    Explanations

    terms related to natural disasters, specifically lightning and its effects

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

    lightning, thunder, and storms

    np_acts-logits-general · gemini-2.0-flash

    lightning and thunder

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     habit
    -0.53
    upply
    -0.48
    íqu
    -0.47
    剌
    -0.44
    quec
    -0.43
    ring
    -0.43
     Phys
    -0.43
    koe
    -0.43
    asure
    -0.43
     Brin
    -0.42
    POSITIVE LOGITS
     thunder
    1.27
     lightning
    1.23
     thunderstorm
    1.09
    thunder
    1.04
     storm
    1.04
    ⛈
    1.02
    Lightning
    1.00
     thunderstorms
    0.99
     Thunder
    0.98
     storms
    0.98
    Activations Density 0.125%

    No Known Activations