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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13187
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    INDEX
    Explanations

    references to road conditions and types of paths

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

    roads or paths

    np_acts-logits-general · gemini-2.0-flash

    road and pathway surfaces

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Chham
    -0.41
     հղումներ
    -0.41
    ThroughAttribute
    -0.39
    matchCondition
    -0.38
    Anar
    -0.36
     GenerationType
    -0.36
     /\.(
    -0.36
    endphp
    -0.36
    InSection
    -0.35
    '])->
    -0.34
    POSITIVE LOGITS
     roads
    1.13
     Roads
    1.04
     road
    1.03
    Roads
    0.94
     Road
    0.93
    roads
    0.89
    Road
    0.88
     ROAD
    0.82
    road
    0.82
     carretera
    0.79
    Activations Density 0.219%

    No Known Activations