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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. 4-RES-JB
    11. 11131
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Assy
    -0.75
    ¶æ
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     Shinra
    -0.68
     appraisal
    -0.66
     Rite
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     Nero
    -0.63
     Nit
    -0.63
     Immun
    -0.63
     Canaver
    -0.63
    Ö¼
    -0.62
    POSITIVE LOGITS
    orem
    0.79
    isSpecialOrderable
    0.77
    dinand
    0.75
    tnc
    0.75
    oldown
    0.73
    ilaterally
    0.73
    raid
    0.72
    urtles
    0.69
    aband
    0.69
    iband
    0.68
    Activations Density 0.000%

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