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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. 21177
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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
    agar
    -0.67
     Hungry
    -0.63
    fights
    -0.62
    lights
    -0.62
    Ru
    -0.61
    seeing
    -0.61
     Fernand
    -0.59
    serious
    -0.58
     digging
    -0.58
     Xiang
    -0.58
    POSITIVE LOGITS
    INESS
    0.72
     SetTextColor
    0.71
    orsi
    0.69
    ilage
    0.67
    oldown
    0.66
    ITIES
    0.63
    OPLE
    0.62
    SEA
    0.62
    keyes
    0.62
    oline
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.