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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. 1563
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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
    ection
    -0.84
     Perspective
    -0.74
    pring
    -0.71
     Solitaire
    -0.70
    iology
    -0.67
     clipboard
    -0.64
     Paper
    -0.62
    iculty
    -0.62
     Candle
    -0.62
    een
    -0.62
    POSITIVE LOGITS
    inous
    0.76
    aea
    0.72
    inventoryQuantity
    0.72
     regress
    0.68
    agements
    0.67
    ishly
    0.66
     sqor
    0.65
    picked
    0.65
     traged
    0.65
    interstitial
    0.65
    Activations Density 0.000%

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