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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 19869
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    INDEX
    Explanations

    occurrences of the word "Cav" followed by a number indicating relevance

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of the name "Cav."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenant
    -0.84
    metry
    -0.72
    ħĭ
    -0.72
    ãĥ³ãĤ¸
    -0.71
    ĪĴ
    -0.67
    ters
    -0.66
    fuck
    -0.66
     rough
    -0.66
     indicative
    -0.63
    ãĤ´ãĥ³
    -0.62
    POSITIVE LOGITS
    endish
    1.36
    illo
    1.12
    inelli
    1.09
    illon
    0.98
    ity
    0.98
    itation
    0.97
    imir
    0.95
    arella
    0.93
    iar
    0.91
    olini
    0.91
    Activations Density 0.019%

    No Known Activations