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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. 23094
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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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    Negative Logits
    erno
    -0.91
    nikov
    -0.82
    eers
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    aiman
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    ĪĴ
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    azeera
    -0.72
    serial
    -0.68
    Reviewer
    -0.67
    nos
    -0.66
    gd
    -0.66
    POSITIVE LOGITS
    ï¸
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     Healer
    0.71
     Panzer
    0.69
     Wond
    0.68
    ishment
    0.66
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    0.66
     Vapor
    0.66
     Resistance
    0.65
     Instruction
    0.65
     Scouting
    0.65
    Activations Density 0.000%

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