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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. 7278
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    INDEX
    Explanations
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    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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    Negative Logits
    actionDate
    -0.81
    brance
    -0.72
    asty
    -0.68
    ļéĨĴ
    -0.67
    obyl
    -0.66
    ergy
    -0.66
     freeze
    -0.62
    ROR
    -0.59
    pmwiki
    -0.59
    anut
    -0.58
    POSITIVE LOGITS
    mares
    0.76
     Ambro
    0.69
     unlaw
    0.67
     TRI
    0.66
     Hig
    0.66
    doors
    0.65
     COUR
    0.64
     Alphabet
    0.63
    ensable
    0.63
     Bows
    0.63
    Activations Density 0.000%

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