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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. 6569
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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
    ommel
    -0.74
    nw
    -0.73
    ounce
    -0.68
    ainer
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    hattan
    -0.68
    unciation
    -0.67
    ounced
    -0.67
    maker
    -0.66
    apist
    -0.65
    outheast
    -0.65
    POSITIVE LOGITS
     Desk
    0.70
     Brav
    0.65
     Brigade
    0.63
     Drill
    0.63
     Dock
    0.62
     Heads
    0.61
     Chips
    0.60
     Balls
    0.59
    ãĤ¨
    0.59
     guts
    0.59
    Activations Density 0.000%

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