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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9824
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    INDEX
    Explanations

    instances of the word "which"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "which" followed by a verb or pronoun

    np_acts-logits-general · gemini-2.0-flash

    which clause connector

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leſs
    -0.59
     enfans
    -0.51
     ſtate
    -0.40
    NewUrlParser
    -0.39
    ########.
    -0.39
    odyear
    -0.38
    enetrable
    -0.38
     pleaſure
    -0.37
    貼り
    -0.37
     souri
    -0.37
    POSITIVE LOGITS
     WHICH
    1.36
     Which
    1.36
     which
    1.31
    Which
    1.30
    which
    1.27
     wich
    1.03
    hich
    0.98
     والتي
    0.89
     lesquels
    0.85
     которая
    0.83
    Activations Density 0.200%

    No Known Activations