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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 5367
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    Explanations

    elements related to urban living conditions and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.43
    BindingSource
    -0.39
    prepareStatement
    -0.38
    pexpr
    -0.37
    aspectj
    -0.36
    bcryptjs
    -0.36
    SequentialGroup
    -0.36
    hrungen
    -0.36
    guantes
    -0.35
    ganggu
    -0.35
    POSITIVE LOGITS
     tent
    1.50
     tents
    1.48
     huts
    1.27
     Tent
    1.25
     hut
    1.22
    Tent
    1.15
    tent
    1.14
     shelters
    1.12
     shelter
    1.08
     cabins
    1.06
    Activations Density 0.286%

    No Known Activations