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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. 7466
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    Explanations

    references to various channel types and their functionalities

    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
    TacToe
    -0.47
     незавершена
    -0.46
    ValueStyle
    -0.44
    }")
    -0.43
    }*/
    -0.43
    thermo
    -0.42
    ]})
    -0.40
    ])))
    -0.40
    acetic
    -0.39
    murder
    -0.39
    POSITIVE LOGITS
     channel
    0.84
    channel
    0.83
    Channel
    0.82
     channels
    0.81
    CHANNEL
    0.79
    getChannel
    0.77
    channels
    0.75
     Channels
    0.74
    annel
    0.73
     Channel
    0.71
    Activations Density 0.287%

    No Known Activations