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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. 3599
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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
     Gad
    -0.68
     emerges
    -0.63
     outnumbered
    -0.63
     Kats
    -0.62
    seless
    -0.62
    ©¶æ
    -0.61
     slideshow
    -0.60
     gist
    -0.59
     vines
    -0.59
     disadvant
    -0.59
    POSITIVE LOGITS
    ividual
    0.91
    nery
    0.88
    ysical
    0.78
    catentry
    0.75
    isal
    0.75
    odox
    0.74
    responsible
    0.73
    atform
    0.73
    zzy
    0.72
    plet
    0.71
    Activations Density 0.000%

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