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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. 2-RES-JB
    11. 547
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    BO
    -0.75
    Ĥİ
    -0.74
    NEY
    -0.70
    ESE
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    æĥ
    -0.69
    IRT
    -0.69
    wn
    -0.68
    LI
    -0.67
    agame
    -0.64
    itures
    -0.63
    POSITIVE LOGITS
     hence
    1.05
     consequently
    1.00
     therefore
    1.00
     thus
    0.95
    rogen
    0.89
    rogens
    0.88
     thereby
    0.87
     consequ
    0.82
    alus
    0.80
     vice
    0.80
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.