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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. 420
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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
    DEN
    -0.74
     Mub
    -0.69
    Family
    -0.65
    EPA
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     DEM
    -0.61
    PLA
    -0.60
    cuts
    -0.60
     calls
    -0.59
    YING
    -0.58
    NOW
    -0.58
    POSITIVE LOGITS
    hetto
    0.78
     recoil
    0.71
    llular
    0.69
    ĸļ
    0.68
     holster
    0.68
     hol
    0.66
    rupted
    0.65
     dstg
    0.65
    brance
    0.64
    gt
    0.64
    Activations Density 0.000%

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