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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. 9398
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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
    ikan
    -0.61
     Jays
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     roy
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     Houses
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    confidence
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     Planet
    -0.59
    suits
    -0.59
     Witches
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     Islands
    -0.58
     starters
    -0.58
    POSITIVE LOGITS
    pport
    0.70
    onday
    0.67
    OTO
    0.67
     targ
    0.66
    ctl
    0.66
    quished
    0.63
    -|
    0.63
    OTHER
    0.61
    ÅŁ
    0.60
    "/>
    0.60
    Activations Density 0.000%

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