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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. 10702
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    INDEX
    Explanations

    numerical values related to time intervals or financial figures

    oai_token-act-pair · gpt-3.5-turbo

    references to annual metrics or statistics

    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
    holes
    -0.90
     Handler
    -0.88
    wright
    -0.82
    UTF
    -0.74
     Parad
    -0.73
    hole
    -0.72
    geist
    -0.69
    ymes
    -0.68
    kef
    -0.66
    words
    -0.66
    POSITIVE LOGITS
    ized
    0.99
    ãĥ¼ãĥĨãĤ£
    0.90
    ised
    0.88
    è¦ļéĨĴ
    0.79
     census
    0.79
     annual
    0.77
    ãĥ£
    0.72
     occurrence
    0.72
     appropriations
    0.72
     yearly
    0.71
    Activations Density 0.014%

    No Known Activations