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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. 8888
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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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    SHIP
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    gerald
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    illet
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    riber
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    gan
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    ĪĴ
    -0.66
     reimbursement
    -0.64
     GN
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    frey
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     generator
    -0.64
    POSITIVE LOGITS
     Sight
    0.76
     Workers
    0.64
    Tok
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     Huma
    0.62
    ··
    0.62
    utory
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     Sach
    0.60
    Lenin
    0.60
    iru
    0.60
     Vis
    0.60
    Activations Density 0.000%

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