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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. 4050
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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
    alog
    -0.78
     cog
    -0.75
     corresponding
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    ruit
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    ertodd
    -0.66
     guiActiveUnfocused
    -0.65
     Rarity
    -0.64
     brim
    -0.64
     largeDownload
    -0.64
    eret
    -0.62
    POSITIVE LOGITS
    enery
    0.78
    ailable
    0.76
    zzo
    0.68
    Ò
    0.65
    stood
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     objections
    0.64
    ãĤ¢ãĥ«
    0.63
     Urug
    0.62
     offenses
    0.61
     architectures
    0.60
    Activations Density 0.000%

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