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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14351
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    INDEX
    Explanations

    specific transportation options and related transit information

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

    Public transportation mentions

    np_acts-logits-general · gemini-2.0-flash

    subway, train, metro, bus

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GHIJKLM
    -0.52
    SharedDtor
    -0.49
    #+#
    -0.48
     InputDecoration
    -0.46
    FunctionFlags
    -0.46
    rungsseite
    -0.45
    SequentialGroup
    -0.44
    EDEFAULT
    -0.44
    jsii
    -0.43
    messageInfo
    -0.43
    POSITIVE LOGITS
     subway
    1.39
     train
    1.24
     trains
    1.23
     metro
    1.18
     метро
    1.13
     tram
    1.10
     Metro
    1.09
    地铁
    1.09
     Trains
    1.05
     bus
    1.04
    Activations Density 0.183%

    No Known Activations