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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. 682
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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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    ld
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    lv
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    mber
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     da
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    taboola
    -0.62
     lyn
    -0.60
    any
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     pardon
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     Marcos
    -0.58
    POSITIVE LOGITS
    Ô
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    rote
    0.77
    edIn
    0.75
    ãĥ¯ãĥ³
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    yk
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    irens
    0.70
    ãĥ¼ãĥĨãĤ£
    0.69
    ÃįÃį
    0.68
    estyles
    0.66
    tains
    0.66
    Activations Density 0.000%

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