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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. 8525
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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
    older
    -0.71
     heaviest
    -0.63
     colonel
    -0.63
     atom
    -0.62
     disband
    -0.62
     disadvantage
    -0.61
     REG
    -0.60
     VC
    -0.60
    OST
    -0.59
    while
    -0.59
    POSITIVE LOGITS
    ktop
    0.81
     Rept
    0.81
    nces
    0.79
    roit
    0.72
    cape
    0.71
    umenthal
    0.70
    asons
    0.69
     pizz
    0.69
    20439
    0.69
    vale
    0.69
    Activations Density 0.000%

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