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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. 4-RES-JB
    11. 2894
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Interstitial
    -0.95
    onz
    -0.72
     Kirst
    -0.68
     vag
    -0.66
     Vas
    -0.65
     Palest
    -0.62
     gl
    -0.62
     McDonnell
    -0.62
     Kath
    -0.62
     Nass
    -0.61
    POSITIVE LOGITS
    reditary
    0.83
    olate
    0.79
    isol
    0.74
    IQ
    0.74
    inx
    0.72
    illin
    0.70
    ocket
    0.70
    =-=-
    0.69
    ointment
    0.68
    intend
    0.68
    Activations Density 0.000%

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