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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. 2-RES-JB
    11. 6265
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Chance
    -0.88
    eat
    -0.87
     largeDownload
    -0.85
    rium
    -0.84
    utenant
    -0.81
    ammy
    -0.78
    emic
    -0.77
    erence
    -0.75
    laugh
    -0.74
    robe
    -0.74
    POSITIVE LOGITS
     conduc
    0.73
    anta
    0.72
     Lara
    0.71
     pamph
    0.64
     Recomm
    0.63
     remotely
    0.62
     PST
    0.62
     paran
    0.62
     Palo
    0.60
     telev
    0.60
    Activations Density 0.000%

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