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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. 22848
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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
    TPS
    -0.82
    )!
    -0.70
    tenance
    -0.69
     kitchens
    -0.67
    ipeg
    -0.61
     taxpayer
    -0.60
    cies
    -0.59
     setbacks
    -0.58
     forfeiture
    -0.57
     redacted
    -0.57
    POSITIVE LOGITS
    etr
    0.75
    iani
    0.73
    arm
    0.73
    agram
    0.71
    én
    0.71
    Desk
    0.70
    arial
    0.70
    arching
    0.69
    emen
    0.69
    oshenko
    0.68
    Activations Density 0.000%

    No Known Activations

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