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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 2069
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    Explanations

    details regarding drainage issues and flood prevention measures

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

    associated with flooding or drainage

    np_acts-logits-general · gemini-2.0-flash

    flood, flooding, drainage, filled

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IBarButtonItem
    -0.63
     Paglinawan
    -0.53
    yntaxException
    -0.50
    FormState
    -0.50
    bootstrapcdn
    -0.50
    KeySpec
    -0.49
    createStatement
    -0.47
    unmodifiable
    -0.46
    pædia
    -0.46
     aDecoder
    -0.46
    POSITIVE LOGITS
     flood
    0.86
     flooding
    0.84
     flooded
    0.81
     floods
    0.69
    flood
    0.68
     banjir
    0.68
     drainage
    0.65
     FLOOD
    0.65
     Flooding
    0.64
     Flood
    0.63
    Activations Density 0.388%

    No Known Activations