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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. 513
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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
     Centauri
    -0.69
     embr
    -0.66
     Dealer
    -0.65
    catentry
    -0.64
     Room
    -0.63
    usha
    -0.63
    essen
    -0.62
    iami
    -0.61
     streng
    -0.60
     automate
    -0.60
    POSITIVE LOGITS
    ĸļ
    0.74
    lez
    0.71
    commun
    0.64
    tainment
    0.63
     Pon
    0.63
    *=-
    0.63
    cohol
    0.62
     Killing
    0.62
     lashes
    0.59
    keeping
    0.58
    Activations Density 0.000%

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