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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 9456
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fucking
    -0.61
     fuckin
    -0.53
     Fucking
    -0.52
    fucking
    -0.50
     FUCKING
    -0.50
    Hauptartikel
    -0.50
    %{
    -0.50
     sce
    -0.48
    Referències
    -0.48
    inaudible
    -0.48
    POSITIVE LOGITS
     •
    1.24
    •
    1.06
     ■
    0.85
    ■
    0.83
     »
    0.82
     ●
    0.81
    €¢
    0.79
     ·
    0.78
    ●
    0.77
    ・
    0.74
    Activations Density 0.458%

    No Known Activations