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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. 15314
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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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    Negative Logits
     inhibition
    -0.75
     horizont
    -0.69
     evasion
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     indic
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    TION
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     fortun
    -0.66
     skept
    -0.65
    ioch
    -0.64
     pard
    -0.64
     polyg
    -0.62
    POSITIVE LOGITS
    renched
    0.74
    OOOOOOOO
    0.73
    CSS
    0.72
    raq
    0.72
    DA
    0.71
    ffe
    0.70
    AW
    0.68
    cro
    0.68
    Ĺ
    0.68
    Gaza
    0.67
    Activations Density 0.000%

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