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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 5191
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    Explanations

    references to storms and severe weather events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     externi
    -0.39
    CrossRef
    -0.38
     Exactos
    -0.36
     Drapeau
    -0.35
    oa̍t
    -0.34
    cherichia
    -0.34
    DOCTYPE
    -0.34
     osmosis
    -0.31
    fhir
    -0.31
     "#"
    -0.31
    POSITIVE LOGITS
     storm
    1.31
     Storm
    1.30
     Thunder
    1.27
     thunder
    1.27
    Thunder
    1.25
    thunder
    1.23
    Storm
    1.20
     STORM
    1.13
     thunderstorm
    1.10
     Lightning
    1.09
    Activations Density 0.418%

    No Known Activations