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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. 12948
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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
     summed
    -0.71
    peria
    -0.69
     levers
    -0.69
     antic
    -0.67
    nown
    -0.67
     repressive
    -0.65
    ramid
    -0.64
     landfill
    -0.63
     blame
    -0.62
     hovering
    -0.61
    POSITIVE LOGITS
    Reviewer
    0.96
    âĢ
    0.81
    âĶĢâĶĢâĶĢâĶĢ
    0.74
    \<
    0.73
    ricted
    0.71
    âĢķ
    0.71
    DragonMagazine
    0.71
    shall
    0.71
    Todd
    0.70
    SUP
    0.70
    Activations Density 0.000%

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