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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. 0-RES-JB
    11. 13716
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    catch
    -0.78
    arat
    -0.72
    sav
    -0.69
    tain
    -0.68
    arse
    -0.66
    sensitive
    -0.66
    stage
    -0.63
    trap
    -0.63
    ival
    -0.63
    atar
    -0.62
    POSITIVE LOGITS
     re
    0.78
     Fas
    0.70
     moth
    0.66
     rewrite
    0.64
     recomm
    0.64
     Reid
    0.64
     cortex
    0.62
    kus
    0.61
    clipse
    0.61
    thora
    0.59
    Activations Density 0.000%

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