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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. 4-RES-JB
    11. 880
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Design
    -0.74
    msg
    -0.72
    yan
    -0.71
    pal
    -0.67
    nah
    -0.67
    hart
    -0.67
    IRC
    -0.65
    marks
    -0.65
    iments
    -0.65
    know
    -0.64
    POSITIVE LOGITS
     exting
    0.72
     roam
    0.69
    senal
    0.68
    izons
    0.66
    externalActionCode
    0.66
     roaming
    0.66
     eleph
    0.64
     Sagan
    0.63
    innie
    0.62
    boa
    0.62
    Activations Density 0.000%

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