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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. 0-RES-JB
    11. 9600
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    -0.75
    urally
    -0.70
     detach
    -0.69
    earances
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    axter
    -0.68
     lett
    -0.65
    urate
    -0.65
     manage
    -0.64
    cule
    -0.64
     Huss
    -0.61
    POSITIVE LOGITS
    engineering
    0.67
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    onement
    0.64
    gpu
    0.60
    dayName
    0.60
    assault
    0.60
    cheon
    0.59
    idated
    0.58
     Residential
    0.58
    Activations Density 0.000%

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