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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. 1-RES-JB
    11. 5078
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Prepar
    -0.79
    protected
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    empl
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     Intervention
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    zes
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    starting
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    ÃĹ
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     mediation
    -0.64
    atal
    -0.63
    aturation
    -0.62
    POSITIVE LOGITS
     nick
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    女
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    ħĭ
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    kj
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     landfill
    0.71
    DragonMagazine
    0.67
     fart
    0.67
    ovember
    0.67
    çīĪ
    0.67
     grind
    0.66
    Activations Density 0.000%

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