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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. 3-RES-JB
    11. 15645
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    thur
    -0.69
    chnology
    -0.67
    Thor
    -0.67
     Hardy
    -0.65
    xus
    -0.64
     Nare
    -0.63
     Thr
    -0.63
    bear
    -0.61
    \/\/
    -0.61
    rave
    -0.60
    POSITIVE LOGITS
    ateur
    0.78
    Fed
    0.73
    icol
    0.72
    fed
    0.72
    entimes
    0.72
     gib
    0.72
    fc
    0.68
    alde
    0.66
    metry
    0.64
    letes
    0.64
    Activations Density 0.000%

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