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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 961
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    references to columns and types of materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     queſta
    -0.81
     ſind
    -0.81
     verſ
    -0.79
     $_=
    -0.77
     ſei
    -0.75
     Photocase
    -0.75
    /**
    -0.74
     Exacts
    -0.73
    <unused42>
    -0.73
    <unused8>
    -0.73
    POSITIVE LOGITS
     materiales
    0.59
    columns
    0.55
     matériaux
    0.53
     materiaal
    0.52
     materials
    0.52
    material
    0.51
    progress
    0.51
    Progress
    0.47
     columns
    0.47
     material
    0.46
    Activations Density 0.234%

    No Known Activations