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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. 3453
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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
    oret
    -0.78
    tein
    -0.74
    essen
    -0.70
    ieth
    -0.70
    ively
    -0.69
    orno
    -0.69
    rament
    -0.68
    ua
    -0.67
    minster
    -0.66
    ilde
    -0.65
    POSITIVE LOGITS
    beard
    0.72
    stocks
    0.67
    byss
    0.66
    天
    0.65
    nown
    0.63
    ppelin
    0.63
    ?:
    0.62
    Thor
    0.62
    HUD
    0.61
    Atl
    0.60
    Activations Density 0.000%

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