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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. 1-RES-JB
    11. 20785
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.95
    ãĥĨãĤ£
    -0.87
    ãĤ¨ãĥ«
    -0.86
    GMT
    -0.80
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.75
    ISE
    -0.75
    ãĤ«
    -0.74
    isi
    -0.73
     Chiefs
    -0.73
    ãĤ¡
    -0.72
    POSITIVE LOGITS
     eyeb
    0.69
    rans
    0.65
     resp
    0.65
    emort
    0.64
     stray
    0.61
     âĸ
    0.61
     Drawn
    0.61
     fishes
    0.60
     mor
    0.58
    parency
    0.58
    Activations Density 0.000%

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