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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8345
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    Explanations

    activities and routines related to mornings and scheduling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyCulture
    -0.59
    parsedMessage
    -0.50
    Datuak
    -0.49
     <>",
    -0.46
    clientY
    -0.46
    endphp
    -0.45
    IsMutable
    -0.44
    XmlAccessType
    -0.44
    ">//
    -0.44
    canestro
    -0.44
    POSITIVE LOGITS
     early
    0.74
    early
    0.69
    Early
    0.66
     EARLY
    0.64
     sunrise
    0.63
     pukul
    0.62
     frühen
    0.61
     morning
    0.59
     temprano
    0.57
    EARLY
    0.57
    Activations Density 0.158%

    No Known Activations