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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. 767
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    INDEX
    Explanations
    No Explanations Found
    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
    opter
    -0.79
     illum
    -0.76
    uple
    -0.73
     Stamp
    -0.72
    acter
    -0.68
    Temp
    -0.67
     Statue
    -0.67
    erie
    -0.66
     Images
    -0.66
     Phot
    -0.65
    POSITIVE LOGITS
     Hendricks
    0.73
     srfAttach
    0.72
    galitarian
    0.65
    rich
    0.64
     Coul
    0.64
    quartered
    0.63
     Mondays
    0.63
     Skydragon
    0.62
    Ĥ¬
    0.61
    icky
    0.59
    Activations Density 0.000%

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