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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. 13472
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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
     Mehran
    -0.70
    Refer
    -0.68
    %%%%
    -0.67
     Refer
    -0.67
     Torrent
    -0.66
     Dele
    -0.63
    paralle
    -0.61
     Piet
    -0.61
    icularly
    -0.59
    vim
    -0.59
    POSITIVE LOGITS
    akery
    0.75
    */(
    0.73
     bailed
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    ights
    0.70
     mattered
    0.69
    ought
    0.69
     coh
    0.68
    ukong
    0.67
     marched
    0.67
     citizenship
    0.67
    Activations Density 0.000%

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