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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. 1814
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    Explanations

    symbols at the beginning of a text

    oai_token-act-pair · gpt-3.5-turbo

    bullet points or list-like structures

    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
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    Negative Logits
    inator
    -0.68
     shaping
    -0.65
     extravag
    -0.65
     migr
    -0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.64
     seiz
    -0.64
    stration
    -0.63
     wisdom
    -0.62
     conservation
    -0.62
     manif
    -0.62
    POSITIVE LOGITS
    AUT
    0.88
    TON
    0.87
    Thompson
    0.80
    âĢł
    0.78
    Trade
    0.78
    CM
    0.77
    NEW
    0.77
     Required
    0.75
    SK
    0.75
    --------------------------------------------------------
    0.74
    Activations Density 0.013%

    No Known Activations