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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. 1958
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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
     welf
    -0.74
     Dept
    -0.67
     behav
    -0.65
     Compare
    -0.64
     Cf
    -0.64
    quartered
    -0.64
     regul
    -0.63
    galitarian
    -0.61
     helic
    -0.60
     è£ıè
    -0.60
    POSITIVE LOGITS
    SN
    0.74
    NL
    0.70
    ability
    0.68
    ola
    0.66
    offensive
    0.65
    net
    0.64
    ical
    0.63
    livion
    0.63
    ader
    0.63
    atta
    0.62
    Activations Density 0.000%

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