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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. 0-RES-JB
    11. 15757
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     millenn
    -0.92
    channelAvailability
    -0.90
    ifix
    -0.82
    ĪĴ
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    ADRA
    -0.80
    DragonMagazine
    -0.76
    ocument
    -0.75
    untu
    -0.73
    phabet
    -0.73
    Balt
    -0.72
    POSITIVE LOGITS
    <|endoftext|>
    0.84
    avascript
    0.81
    cot
    0.78
     encounters
    0.73
    âĻ¥
    0.71
    days
    0.68
    References
    0.67
    Advertisements
    0.66
     Strikes
    0.65
     advances
    0.64
    Activations Density 0.000%

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