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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. 23304
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    INDEX
    Explanations
    No Explanations Found
    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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    Negative Logits
    akura
    -0.75
    asso
    -0.70
    IFT
    -0.67
    helle
    -0.67
     Tao
    -0.67
    halla
    -0.67
    ultan
    -0.66
    ptroller
    -0.65
    ibliography
    -0.63
    fund
    -0.63
    POSITIVE LOGITS
     Palest
    0.83
    ãĤ¦ãĤ¹
    0.77
    terness
    0.71
    bryce
    0.67
    hered
    0.67
    ãĥ¼ãĤ¯
    0.66
    activity
    0.62
     defensively
    0.61
     Rasm
    0.59
     luc
    0.59
    Activations Density 0.000%

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