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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. 3-RES-JB
    11. 5326
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    earchers
    -0.88
    ancies
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    itary
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    nces
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    iments
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    ĸļ
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    yss
    -0.72
    odder
    -0.69
    ufact
    -0.68
     condem
    -0.67
    POSITIVE LOGITS
    Diamond
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    ļé
    0.69
    van
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    Weiss
    0.67
     Abstract
    0.66
    alpha
    0.65
    Alpha
    0.65
    çĶ°
    0.64
    reference
    0.63
    ãĤĬ
    0.63
    Activations Density 0.000%

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