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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. 5519
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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
     Retrieved
    -0.62
     contiguous
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     Mod
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    place
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     encl
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     IPO
    -0.57
    XT
    -0.57
    000000
    -0.56
    âĦ¢:
    -0.56
    nect
    -0.56
    POSITIVE LOGITS
    etheless
    1.02
     Canterbury
    0.75
    guns
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    ishops
    0.67
    sie
    0.66
    monds
    0.66
    dies
    0.66
    bia
    0.65
    amily
    0.65
    ALS
    0.64
    Activations Density 0.000%

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