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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. 2-RES-JB
    11. 24028
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ©¶æ
    -0.89
    ļéĨĴ
    -0.73
    izzard
    -0.70
    berman
    -0.69
     questionnaire
    -0.69
    ecided
    -0.68
    arten
    -0.67
     contrace
    -0.67
    è¦ļéĨĴ
    -0.67
    pled
    -0.65
    POSITIVE LOGITS
    erers
    0.72
    yards
    0.70
     Alexand
    0.69
    quer
    0.66
    erer
    0.66
    live
    0.65
    doms
    0.64
     Extract
    0.64
    rub
    0.63
    oak
    0.61
    Activations Density 0.000%

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