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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. 9617
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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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    Negative Logits
    ĨĴ
    -0.86
     Tec
    -0.75
     Miami
    -0.70
     Vince
    -0.69
    Miami
    -0.67
     Min
    -0.65
     Weekly
    -0.65
     Mic
    -0.64
     Macy
    -0.63
     Miles
    -0.63
    POSITIVE LOGITS
     sights
    0.91
    "]=>
    0.90
     externalToEVAOnly
    0.79
    ijk
    0.78
    kens
    0.73
    abs
    0.71
    hai
    0.70
     coerc
    0.69
    iltr
    0.69
     framing
    0.68
    Activations Density 0.000%

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