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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. 6676
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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
    ancies
    -0.81
    ħĭ
    -0.79
    ĵĺ
    -0.76
     glim
    -0.75
    aucuses
    -0.72
    Ire
    -0.72
     sqor
    -0.72
    dinand
    -0.72
    rious
    -0.70
    Orderable
    -0.68
    POSITIVE LOGITS
    bh
    0.68
    bon
    0.68
    ahan
    0.67
    bard
    0.66
    backer
    0.66
    iak
    0.65
    ozo
    0.64
    meier
    0.64
    ://
    0.64
     Manson
    0.64
    Activations Density 0.000%

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