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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. 2-RES-JB
    11. 6960
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enburg
    -0.71
    assian
    -0.68
    inen
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     reassured
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     carp
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    ersen
    -0.60
     fitt
    -0.60
     told
    -0.60
     Hopkins
    -0.60
     rooft
    -0.60
    POSITIVE LOGITS
    tones
    0.89
    ULT
    0.77
    \\\\\\\\
    0.77
    ARCH
    0.75
    auts
    0.73
    =>
    0.72
     ACTIONS
    0.71
     IMAGES
    0.71
    uggest
    0.70
    rifice
    0.70
    Activations Density 0.000%

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