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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. 573
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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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    Negative Logits
    ĪĴ
    -0.74
     Romeo
    -0.67
    itto
    -0.65
    erenn
    -0.64
     Rural
    -0.64
    lie
    -0.61
    FER
    -0.61
     Hayden
    -0.61
    innie
    -0.61
    eco
    -0.59
    POSITIVE LOGITS
    zbollah
    0.73
     impuls
    0.73
     Clapper
    0.66
     Corbyn
    0.64
     Bundesliga
    0.64
     archived
    0.64
    zag
    0.63
     Indones
    0.63
    afia
    0.61
     retracted
    0.61
    Activations Density 0.000%

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