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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. 11-RES-JB
    11. 1727
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    Explanations

    phrases or sentences with emphasis or exclamations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong emotions or exclamations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reprodu
    -0.69
     MFT
    -0.68
     range
    -0.68
     Skydragon
    -0.68
     Mali
    -0.67
     Cycling
    -0.67
     Atmospheric
    -0.65
     laboratory
    -0.65
     Cameroon
    -0.64
     Kerala
    -0.64
    POSITIVE LOGITS
    ª
    1.47
    ł
    1.45
    ¹
    1.39
    Ķ
    1.34
    «
    1.30
    ľ
    1.30
    ½
    1.29
    ı
    1.28
    ³
    1.28
    IJ
    1.28
    Activations Density 0.148%

    No Known Activations