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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. 6039
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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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    cot
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     }}
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    aro
    -0.68
    ells
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    ano
    -0.62
     retained
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    ongo
    -0.61
    tan
    -0.61
    gins
    -0.60
    NEY
    -0.60
    POSITIVE LOGITS
    ertodd
    0.71
    packages
    0.66
    eny
    0.65
     Incarn
    0.62
    agog
    0.62
    Ops
    0.62
     Scand
    0.62
     è£ıè
    0.61
    ership
    0.59
    arist
    0.58
    Activations Density 0.000%

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