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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 102381
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    Explanations

    discussions on public transportation systems and their implications

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    public transportation and transit

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Personendaten
    -0.48
     OnInit
    -0.45
    SharedDtor
    -0.45
    +#+
    -0.44
     виправивши
    -0.43
    ThroughAttribute
    -0.43
    oredCriteria
    -0.43
     wußte
    -0.40
    ⎠
    -0.40
    AutoModerator
    -0.40
    POSITIVE LOGITS
     transport
    0.63
     transportation
    0.57
     Transport
    0.51
     urban
    0.51
     Passengers
    0.46
     mayors
    0.46
     transit
    0.45
     passenger
    0.45
    Transport
    0.45
    運輸
    0.45
    Activations Density 0.183%

    No Known Activations