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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 2443
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    INDEX
    Explanations

    proper nouns related to business, investing, and Hollywood figures

    oai_token-act-pair · gpt-3.5-turbo

    references to the film industry and notable filmmakers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otypes
    -0.78
    alogue
    -0.75
    ĪĴ
    -0.74
    otype
    -0.74
    ership
    -0.72
    onyms
    -0.69
    foundland
    -0.69
    oret
    -0.69
    ebook
    -0.68
    soever
    -0.67
    POSITIVE LOGITS
    JJ
    0.79
    ulp
    0.74
    steen
    0.72
    ensions
    0.72
    SON
    0.70
     Ake
    0.69
    inho
    0.68
    prime
    0.68
    inarily
    0.68
    glas
    0.67
    Activations Density 0.026%

    No Known Activations