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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. 20813
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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
    Not in Any Lists

    No Comments

    Negative Logits
    eries
    -0.77
     -->
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    Bul
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    ãĥ´ãĤ¡
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    ause
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    ======
    -0.72
    ;;;;;;;;;;;;
    -0.71
    FINEST
    -0.68
    âĵĺ
    -0.67
    .--
    -0.67
    POSITIVE LOGITS
     oun
    0.78
     distingu
    0.78
     discrep
    0.73
    ©¶æ
    0.71
     Goo
    0.71
     advoc
    0.69
     fict
    0.69
     Geh
    0.68
     metic
    0.68
     millenn
    0.68
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.