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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. 10-RES-JB
    11. 1086
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    Explanations

    information and insights in various contexts ranging from scientific research to cultural analysis

    oai_token-act-pair · gpt-3.5-turbo

    references to valuable insights, information, and opportunities for research or understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknow
    -0.67
    ©¶æ
    -0.67
    ĪĴ
    -0.67
     ado
    -0.57
     Declaration
    -0.57
     livest
    -0.56
    Ħ¢
    -0.54
     Mild
    -0.52
     disbanded
    -0.52
    ãĥ¯ãĥ³
    -0.52
    POSITIVE LOGITS
    utic
    0.84
     unmatched
    0.81
     compared
    0.80
     whereas
    0.79
     for
    0.77
     beyond
    0.76
     exponentially
    0.74
     enabling
    0.73
     unparalleled
    0.73
     akin
    0.73
    Activations Density 0.303%

    No Known Activations