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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. 533
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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
     Shant
    -0.75
     Mord
    -0.74
    spr
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     Dir
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     dawn
    -0.63
     Shap
    -0.62
    topia
    -0.61
     emer
    -0.60
     adulthood
    -0.60
    assisted
    -0.60
    POSITIVE LOGITS
     incent
    0.85
    oir
    0.83
     econom
    0.76
    emouth
    0.76
    BIL
    0.73
    ewitness
    0.73
    ADRA
    0.70
    _-
    0.68
    olics
    0.68
    nesota
    0.68
    Activations Density 0.000%

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