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    3. Gemma-2-2B
    5. 21-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    weak verbs with adjectives and nouns showing consequences

    oai_token-act-pair · gemini-2.0-flash

    terms related to effects and impacts

    np_token-act-pair-logits · gpt-4o-mini

    effect

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_21/width_16k/average_l0_13
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     having
    -1.23
    having
    -1.18
     HAVING
    -1.16
     Having
    -1.14
    Having
    -1.09
     had
    -1.08
    Had
    -1.00
     Have
    -0.99
     Had
    -0.99
    had
    -0.98
    POSITIVE LOGITS
     effect
    0.62
     effects
    0.59
    effect
    0.58
    róż
    0.49
    навли
    0.49
    effects
    0.48
    asure
    0.47
     llegamos
    0.47
    luit
    0.47
    CHAIN
    0.47
    Activations Density 0.999%

    No Known Activations