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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. 18089
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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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     sacrific
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     adequ
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     waivers
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     agre
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     immobil
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    faces
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     valves
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     vulner
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     tremend
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    roy
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    POSITIVE LOGITS
    eworthy
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    ;;
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    laun
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    AW
    0.66
    repeat
    0.63
    ;;;;
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    inventoryQuantity
    0.62
    track
    0.62
    Medium
    0.62
    Aw
    0.62
    Activations Density 0.000%

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