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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. 9455
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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
    agara
    -0.90
    raq
    -0.86
    negie
    -0.81
    assad
    -0.81
    quit
    -0.76
    kefeller
    -0.76
    itri
    -0.76
    itol
    -0.76
    thur
    -0.73
    ifax
    -0.73
    POSITIVE LOGITS
    ãĥĨ
    0.77
     Expend
    0.73
     multiplier
    0.68
    SEA
    0.62
     Infinite
    0.61
     Bio
    0.61
     Mind
    0.61
     endeavors
    0.61
     multipl
    0.61
     splits
    0.60
    Activations Density 0.000%

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