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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. 9847
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    Explanations

    references to flooding and related water management issues

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

    floods, flooding, and water damage

    np_acts-logits-general · gemini-2.0-flash

    flooding

    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
     estekak
    -0.66
    tagHelperRunner
    -0.63
    haikusbot
    -0.60
     snippetHide
    -0.58
     EconPapers
    -0.55
     JpaRepository
    -0.52
    aarrggbb
    -0.51
     kasarigan
    -0.50
    WriteTagHelper
    -0.50
    transQ
    -0.49
    POSITIVE LOGITS
     flood
    1.67
     Flood
    1.37
     flooding
    1.37
     flooded
    1.35
     floods
    1.30
    flood
    1.25
    Flood
    1.23
     FLOOD
    1.21
     Flooding
    1.16
     banjir
    0.99
    Activations Density 0.086%

    No Known Activations