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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. 18281
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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
     nodd
    -0.74
    shall
    -0.73
     agre
    -0.73
    urat
    -0.71
     nutrit
    -0.71
    sembly
    -0.68
    ¥µ
    -0.67
     obser
    -0.64
     appreciated
    -0.64
     membr
    -0.63
    POSITIVE LOGITS
    yna
    0.69
     Mub
    0.67
    copy
    0.64
    hai
    0.64
     Und
    0.63
    itia
    0.63
     Sgt
    0.63
    tor
    0.62
    ragon
    0.62
    jon
    0.62
    Activations Density 0.000%

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