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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. 5442
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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
    reen
    -0.87
    enh
    -0.84
    artisan
    -0.83
    alk
    -0.78
    furt
    -0.78
    solete
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    ighthouse
    -0.77
    regon
    -0.77
    smart
    -0.77
    gren
    -0.76
    POSITIVE LOGITS
     Chains
    0.70
     puppet
    0.70
     Puppet
    0.69
     DUP
    0.68
     TIME
    0.66
     Soros
    0.64
     Maduro
    0.63
     Bomber
    0.61
     Carnage
    0.61
     control
    0.61
    Activations Density 0.000%

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