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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. 3-RES-JB
    11. 23873
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    Explanations

    numeric values with currency symbols

    oai_token-act-pair · gpt-3.5-turbo

    references to sources or citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    wagen
    -0.85
    hene
    -0.81
    achine
    -0.78
    ĪĴ
    -0.75
    anooga
    -0.72
    FACE
    -0.72
    athetic
    -0.72
    aroo
    -0.71
    essage
    -0.71
    ħĭ
    -0.69
    POSITIVE LOGITS
     Medline
    0.73
     UA
    0.71
     Xin
    0.66
     wealth
    0.66
    gio
    0.65
     sust
    0.61
     Er
    0.58
     NIH
    0.57
    minecraft
    0.56
     documentation
    0.56
    Activations Density 0.212%

    No Known Activations