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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. 20020
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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
    ãĥij
    -0.84
    ":"","
    -0.82
    DragonMagazine
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    ãĤ¦ãĤ¹
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    ebin
    -0.75
    Profile
    -0.75
    Override
    -0.73
    stained
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    ãĥĩãĤ£
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    ãĤ¡
    -0.70
    POSITIVE LOGITS
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    0.72
     Liter
    0.66
     Ferry
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     Innovation
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     regulation
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     camel
    0.62
    lag
    0.62
     Recreation
    0.62
     attendance
    0.62
    Activations Density 0.000%

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