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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. 8181
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    Explanations

    references to bears, particularly teddy bears

    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
     autorytatywna
    -0.47
     CreateTagHelper
    -0.44
     iParam
    -0.44
    oa̍t
    -0.43
     transfieras
    -0.42
    DotNetBar
    -0.41
     myſelf
    -0.40
     tartalomajánló
    -0.39
    Jeografia
    -0.39
    RTEX
    -0.38
    POSITIVE LOGITS
     bear
    2.75
     bears
    2.48
     Bear
    2.39
    bear
    2.31
    Bear
    2.30
     BEAR
    2.28
     Bears
    2.16
    bears
    2.03
    BEAR
    2.02
    Bears
    1.93
    Activations Density 0.202%

    No Known Activations