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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. 13663
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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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    ãĤ¢ãĥ«
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     trave
    -0.78
    çīĪ
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    Æ
    -0.76
    é¾įå
    -0.71
    æ©Ł
    -0.71
    Ó
    -0.71
     reformed
    -0.71
    entric
    -0.70
    IDER
    -0.70
    POSITIVE LOGITS
    products
    0.77
    mouth
    0.72
    hess
    0.66
    mate
    0.64
     Hazard
    0.63
    adem
    0.63
    interest
    0.62
    mental
    0.59
    thouse
    0.59
    kick
    0.59
    Activations Density 0.000%

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