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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. 0-RES-JB
    11. 18944
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    tackle
    -0.72
    gamer
    -0.70
    gage
    -0.70
    igraph
    -0.67
     mainline
    -0.66
     SATA
    -0.65
    chwitz
    -0.65
    urban
    -0.63
    swick
    -0.63
     staples
    -0.60
    POSITIVE LOGITS
    aban
    0.68
    alid
    0.65
    anqu
    0.64
    ISC
    0.63
     conserv
    0.63
    rub
    0.62
    ño
    0.62
     reg
    0.60
    oops
    0.60
    leans
    0.59
    Activations Density 0.000%

    No Known Activations

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