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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. 12610
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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
    Grey
    -0.80
     Afric
    -0.74
    ATHER
    -0.67
    APH
    -0.67
    APS
    -0.66
     paed
    -0.65
     Baltic
    -0.65
     Carnival
    -0.65
    ILY
    -0.64
     Arabian
    -0.64
    POSITIVE LOGITS
    stros
    0.79
    omen
    0.75
    rium
    0.72
    rio
    0.70
    ufact
    0.69
    oppable
    0.68
    estyles
    0.68
    arkin
    0.67
    roman
    0.67
    ento
    0.66
    Activations Density 0.000%

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