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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. 23148
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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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    fman
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     forestry
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     mathemat
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     mutually
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     manufact
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     reputable
    -0.62
     reconc
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     lavish
    -0.61
     speaker
    -0.61
     bullish
    -0.59
    POSITIVE LOGITS
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    otin
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    pin
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    >>>
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    CEPT
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    gest
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    ÅĤ
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    Ä
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    ''
    0.67
     Flavoring
    0.67
    Activations Density 0.000%

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