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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. 20924
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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
    ilan
    -0.73
    intern
    -0.64
    bats
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    comings
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    onse
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    exc
    -0.63
    soDeliveryDate
    -0.63
    andals
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    othal
    -0.61
    899
    -0.60
    POSITIVE LOGITS
     fielder
    0.65
     charact
    0.64
    estyle
    0.64
     margins
    0.62
     stabil
    0.62
     Samar
    0.61
     damp
    0.60
    Vel
    0.59
    \\\\\\\\
    0.59
     umbrella
    0.59
    Activations Density 0.000%

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