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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. 12932
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    INDEX
    Explanations
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    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
    clusive
    -0.74
    raltar
    -0.67
    buquerque
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    laim
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    instance
    -0.65
    Published
    -0.65
    aspers
    -0.65
     dean
    -0.65
    orth
    -0.64
    elaide
    -0.64
    POSITIVE LOGITS
    Combat
    0.66
    travel
    0.65
     Bers
    0.64
    Travel
    0.64
    Weather
    0.63
     Combat
    0.63
    inc
    0.62
    etter
    0.61
    nings
    0.61
    dayName
    0.61
    Activations Density 0.000%

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