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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. 0-RES-JB
    11. 8357
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    vre
    -0.74
     initialized
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    gel
    -0.66
    ateur
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     vegan
    -0.61
     Camden
    -0.60
     Kelvin
    -0.59
     ..."
    -0.59
     artif
    -0.59
     ammonia
    -0.58
    POSITIVE LOGITS
    enza
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    otions
    0.80
    ials
    0.77
    adan
    0.73
    azines
    0.71
    ç¥ŀ
    0.68
     Cance
    0.66
     Records
    0.66
    uria
    0.64
     Clan
    0.64
    Activations Density 0.000%

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