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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. 11093
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    Explanations

    references to trees and forestry management techniques

    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
    lorette
    -0.46
     Soccerway
    -0.46
     AssemblyProduct
    -0.45
    RenderAtEndOf
    -0.45
     cuarzo
    -0.42
     Gegens
    -0.40
     الاطلاع
    -0.40
    ibouti
    -0.40
    tagext
    -0.40
    Personendaten
    -0.39
    POSITIVE LOGITS
     wood
    1.23
     tree
    1.16
     forest
    1.15
     trees
    1.13
     timber
    1.12
     woods
    1.11
     Wood
    1.10
     Tree
    1.10
     forestry
    1.08
     Timber
    1.07
    Activations Density 0.792%

    No Known Activations