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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. 1-RES-JB
    11. 13456
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    andowski
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    eva
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    english
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    Ń·
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    ther
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    rooms
    -0.75
    jet
    -0.72
    room
    -0.71
    ²¾
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    Ļ½
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    POSITIVE LOGITS
    FUL
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     generosity
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     Prophe
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     interceptions
    0.68
    idable
    0.66
     STUD
    0.65
     Juno
    0.63
     Stard
    0.63
     accomplishments
    0.62
     Reneg
    0.60
    Activations Density 0.000%

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