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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. 13347
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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
    lights
    -0.70
    odd
    -0.70
    uld
    -0.70
    jad
    -0.68
    chance
    -0.67
    ynes
    -0.66
     Watt
    -0.65
    ril
    -0.65
     FG
    -0.64
     Dres
    -0.64
    POSITIVE LOGITS
    irlf
    0.82
     navigating
    0.78
     pneum
    0.73
    pection
    0.72
    artment
    0.71
     Escape
    0.67
    isner
    0.67
     escal
    0.66
    ipel
    0.65
    merce
    0.65
    Activations Density 0.000%

    No Known Activations

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