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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 1225
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    Explanations

    references to transportation infrastructure, specifically airports and railway stations

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

    transportation infrastructure like railway stations, airports, and bus lines.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.55
    providedIn
    -0.55
    OGND
    -0.55
     <<<<<<<<<<<<<<
    -0.54
    出版年
    -0.52
    ngdoc
    -0.52
    fjspx
    -0.52
     ddelweddau
    -0.50
    ✨:
    -0.48
    verwijspagina
    -0.47
    POSITIVE LOGITS
     Airport
    0.68
     airport
    0.66
    Airport
    0.62
    airport
    0.61
     Flughafen
    0.54
     airports
    0.49
     aeropuerto
    0.46
     Airports
    0.44
     convenient
    0.41
     terminal
    0.40
    Activations Density 0.103%

    No Known Activations