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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. 13437
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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
    dp
    -0.65
    netflix
    -0.65
    xon
    -0.63
    esson
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    çīĪ
    -0.63
     nig
    -0.62
     balk
    -0.62
    haul
    -0.62
    orkshire
    -0.61
    0000000000000000
    -0.61
    POSITIVE LOGITS
    awan
    0.72
    Screenshot
    0.67
    Completed
    0.65
     clipboard
    0.62
     Statistics
    0.59
     halftime
    0.58
    estial
    0.58
    isu
    0.58
     warr
    0.57
     Throne
    0.55
    Activations Density 0.000%

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