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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. 16109
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    INDEX
    Explanations
    No Explanations Found
    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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    JUST
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    wrong
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    dead
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    SU
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    xon
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    igun
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    nai
    -0.74
    onda
    -0.69
    NOT
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    anda
    -0.67
    POSITIVE LOGITS
     Incarn
    0.73
     Inferno
    0.70
     Aether
    0.69
     Allaah
    0.68
     Const
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     charms
    0.67
     Inquisitor
    0.67
     Torment
    0.66
     warmth
    0.66
     Catholicism
    0.66
    Activations Density 0.000%

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