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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. 4856
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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
    emonic
    -0.70
     wraps
    -0.62
    EStreamFrame
    -0.62
    ength
    -0.61
     inver
    -0.61
    IDS
    -0.60
    otiation
    -0.59
     Unified
    -0.58
    root
    -0.58
     Orleans
    -0.58
    POSITIVE LOGITS
     suscept
    0.82
    Sov
    0.76
     elig
    0.69
     disadvant
    0.68
    æ©
    0.68
     webcam
    0.67
    Cub
    0.66
    zens
    0.63
    ukong
    0.62
    ç
    0.62
    Activations Density 0.000%

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