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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. 2-RES-JB
    11. 5379
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    USS
    -0.81
     Rey
    -0.72
     Stard
    -0.72
     %%
    -0.72
    GROUND
    -0.68
    IDES
    -0.66
    vich
    -0.65
    uru
    -0.64
     Tsarnaev
    -0.64
     Cycling
    -0.64
    POSITIVE LOGITS
     prep
    0.78
     [+
    0.74
    ©¶æ
    0.69
    paren
    0.64
    inery
    0.63
    ĸļ
    0.62
     ende
    0.61
    markets
    0.61
     amen
    0.60
    orts
    0.60
    Activations Density 0.000%

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