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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. 3722
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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
    enc
    -0.77
    Dat
    -0.77
    orio
    -0.74
    ibaba
    -0.74
     aid
    -0.73
    ertation
    -0.73
    luent
    -0.73
    entious
    -0.72
    oyer
    -0.72
    itive
    -0.71
    POSITIVE LOGITS
     conscience
    0.75
     Moral
    0.73
     Wem
    0.71
    ipolar
    0.68
     Strauss
    0.63
     guiActive
    0.62
     Tests
    0.61
     Liberty
    0.61
     Toggle
    0.60
    Freedom
    0.60
    Activations Density 0.000%

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