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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. 17350
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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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    No Comments

    Negative Logits
     Bent
    -0.74
     LTD
    -0.71
     RAID
    -0.68
     Ballard
    -0.66
     debtor
    -0.65
     orderly
    -0.65
     Oy
    -0.63
     standby
    -0.63
     lockout
    -0.63
     Lead
    -0.62
    POSITIVE LOGITS
    nces
    0.96
    xual
    0.94
    comings
    0.86
    bj
    0.77
    umenthal
    0.76
    zbollah
    0.73
    enthal
    0.73
    cens
    0.72
    creen
    0.72
    pn
    0.72
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.