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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. 9808
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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
    ¯
    -0.78
    wayne
    -0.70
    lege
    -0.69
    ality
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    bos
    -0.66
     Violent
    -0.66
    onz
    -0.66
    ative
    -0.62
    ance
    -0.62
     Spur
    -0.59
    POSITIVE LOGITS
    yip
    0.86
    ipel
    0.85
    lished
    0.79
    lehem
    0.71
    WithNo
    0.69
     cafes
    0.68
    atches
    0.67
    ropolis
    0.67
    assian
    0.66
    bats
    0.66
    Activations Density 0.000%

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