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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. 4539
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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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    rien
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    Leaks
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    ails
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    borough
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    iety
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    Commerce
    -0.67
    powers
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    ilst
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    '>
    -0.65
    POSITIVE LOGITS
    oret
    0.74
     prism
    0.70
    arta
    0.68
     quint
    0.66
    uth
    0.66
    ramid
    0.63
     Occup
    0.61
     definition
    0.60
    MAG
    0.59
     referenced
    0.59
    Activations Density 0.000%

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