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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 12149
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    Explanations

    names of players and teams from American football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recruiters
    -0.50
     FetchType
    -0.49
     ProtoMessage
    -0.48
    rungsseite
    -0.48
    DIPSETTING
    -0.47
     recruited
    -0.46
     printemps
    -0.46
     ObjectParameter
    -0.46
    BufferException
    -0.45
     recruiting
    -0.43
    POSITIVE LOGITS
     AFC
    0.73
     NFC
    0.71
     nfc
    0.61
    AFC
    0.60
     Super
    0.53
    Super
    0.52
    NFC
    0.52
     raiſ
    0.51
     houſe
    0.49
     NFL
    0.48
    Activations Density 0.209%

    No Known Activations