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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. 6467
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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
    Not in Any Lists

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    Negative Logits
    adden
    -0.79
     Amend
    -0.77
     flank
    -0.67
    ylum
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    PRO
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     pivot
    -0.66
    agus
    -0.65
    Catalog
    -0.64
     Stam
    -0.63
    rg
    -0.63
    POSITIVE LOGITS
    ldon
    0.74
    SHIP
    0.71
    icidal
    0.70
     Clarks
    0.70
    zhou
    0.67
    Cola
    0.66
     depot
    0.64
    endum
    0.62
     Nash
    0.62
    incible
    0.62
    Activations Density 0.000%

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