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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. 2556
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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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    No Comments

    Negative Logits
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    -1.34
     mathemat
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    pmwiki
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    -0.82
    ãĥ¼ãĥĨãĤ£
    -0.79
     Marketable
    -0.78
    kered
    -0.77
    berra
    -0.75
    Interstitial
    -0.75
    veyard
    -0.74
    POSITIVE LOGITS
    verse
    0.67
     Phar
    0.65
     Mew
    0.65
     peg
    0.63
     Kirin
    0.63
     hier
    0.63
     label
    0.62
     ---------
    0.60
     DSL
    0.60
     wonders
    0.59
    Activations Density 0.000%

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