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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. 8232
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    Explanations

    words related to railroads and real estate transactions

    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
    MockBean
    -0.68
    KommentareTeilen
    -0.66
     setEmail
    -0.65
     yoghurt
    -0.64
    parsedMessage
    -0.63
     sulphate
    -0.62
    writeFieldEnd
    -0.62
    Fibre
    -0.61
     RAF
    -0.61
     Савезне
    -0.61
    POSITIVE LOGITS
     Larson
    0.65
     Prancis
    0.62
    ency
    0.59
     Peterson
    0.59
    اً
    0.57
     Pacífico
    0.57
     Olson
    0.56
     Theater
    0.54
     Donahue
    0.54
     confiable
    0.53
    Activations Density 1.797%

    No Known Activations