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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. 20251
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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
    ãĥ¼ãĥĨ
    -0.95
    ãĤ¦ãĤ¹
    -0.79
     laun
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    ãĥ£
    -0.74
     Nanto
    -0.74
    ãĥ³ãĤ¸
    -0.72
     à¨
    -0.71
     Butterfly
    -0.70
     Fairy
    -0.69
    ãĤ®
    -0.66
    POSITIVE LOGITS
    olia
    0.86
    lease
    0.78
    rha
    0.78
    opol
    0.68
     redundancy
    0.68
    tha
    0.66
    rast
    0.66
    vana
    0.66
    abus
    0.65
    ospital
    0.64
    Activations Density 0.000%

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