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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. 3242
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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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    owicz
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     resp
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    >]
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    reau
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    agh
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     Reincarn
    -0.68
    aren
    -0.66
    >"
    -0.65
    ozo
    -0.65
    POSITIVE LOGITS
     corpor
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    abulary
    0.64
     Helsinki
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    ENTION
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     Blaster
    0.61
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    izational
    0.59
    BLE
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    EEE
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    ellig
    0.57
    Activations Density 0.000%

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